Information Technology Consultant Jobs in San Anselmo, CA

Founding Customer-Facing AI Engineer Compensation: $200K - $310K base + bonus + equity Visa Sponsorship Available A fast-moving AI company is looking for a Founding Forward Deployed Engineer to join a small, dynamic team helping enterprise clients implement intelligent voice agents in high-impact environments. This hybrid role blends engineering, product, and customer success-and is perfect for someone who thrives in both technical deep-dives and customer-facing problem-solving. If you're energized by fast iteration, direct customer collaboration, and seeing your solutions make an immediate difference in the real world, this is your kind of role. What You'll Be Doing: Work hand-in-hand with enterprise clients to deploy voice-based AI solutions in production Embed with customer teams to navigate complex systems, deliver custom integrations, and ensure successful adoption Lead technical workshops, run demos, and provide hands-on support throughout onboarding and deployment Act as a feedback loop between customer needs and internal product/engineering teams to guide roadmap priorities Troubleshoot roadblocks, improve documentation, and build scalable tooling to accelerate implementation Travel as needed to customer locations, deliver expert support, and ensure seamless rollouts Collaborate across departments to ensure the company is delivering measurable results for customers What You Bring: Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field 1+ year of experience in a technical role (software engineering, systems integration, or similar) Strong communication and interpersonal skills-you can clearly explain complex topics to both technical and non-technical audiences Comfortable working across both engineering and sales functions; highly collaborative and results-driven Fast-moving and adaptable-able to manage multiple priorities and pivot quickly as needs evolve Passionate about learning and eager to grow with a mission-driven team Perks & Benefits: 100% employer-paid medical, dental, and vision insurance Free daily meals (breakfast, lunch, dinner) and unlimited snacks Gym access and commuter reimbursement Internet and mobile phone expenses covered Visa and green card sponsorship This is a unique opportunity to join a venture-backed startup at the ground floor and help shape how voice AI transforms enterprise workflows. If you're someone who thrives at the intersection of engineering and real-world impact, you'll find both challenge and purpose here.

About the Role We are actively seeking a talented and motivated individual to join our team as Helpdesk Engineer. This is an internal user support position. The chosen candidate will also play a role in maintaining and optimizing our IT infrastructure. If you are a dynamic IT professional seeking a challenging and rewarding role that combines Tier 3 helpdesk support and systems engineering, and you are excited about contributing to Sycomp's global success, we invite you to apply. Responsibilities Infrastructure Management: Maintain Sycomp's internal environment, including Entra ID (Azure Active Directory), on-premises Active Directory and supporting infrastructure servers and appliances. Implement and manage Azure Virtual Desktop Infrastructure (VDI) solutions. Administer and troubleshoot Microsoft Intune and JAMF Pro MDM environments. Administer VPN for secure remote access. Experience with Cisco Meraki line of products and Palo Alto Firewalls. Helpdesk Support: Remotely serves as the primary point of contact for escalated technical issues, delivering expert troubleshooting and resolution for our global on-premises and remote users. Support of a world-wide team of Microsoft Windows (10 & 11) and MacOS laptop users as well as mobile devices, both Android and iOS. Efficiently manage helpdesk ticket queues, ensuring timely and effective issue resolution. Collaborate with Tier 1 and Tier 2 support teams to enhance overall support efficiency. Security and Compliance: Participate in team efforts to secure the IT environment, ensuring compliance with industry standards and best practices. Participate in migrating applications to Single Sign-On (SSO). Conduct regular security audits and implement necessary measures to address vulnerabilities in our Microsoft cloud and on-premises environments. Participate in maintaining our threat detection/protection environment - email, endpoint, and edge. Automation and Scripting: Leverage PowerShell scripting to automate processes, including onboarding/offboarding procedures. Implement automation solutions to streamline routine maintenance tasks. Global Helpdesk Management: Work with helpdesk engineers globally, coordinating support activities across the US, EMEA and APAC regions. Ensure consistent and effective support services worldwide. This will require flexible availability. Project Guidance: Provide guidance and leadership with the team to execute new IT projects, ensuring alignment with organizational goals. Collaborate with cross-functional teams to deliver projects on time and within budget. Licensing and Compliance: Help track and manage software licenses, ensuring compliance with vendor agreements. Proactively address licensing needs and assist with solutions to optimize costs. Qualifications Proven experience in a senior helpdesk support role. Proven experience with end-user support, both in-office and remote users. Comprehensive experience with management and support of everything Microsoft 365 including Exchange, SharePoint, and Teams. Experience with Entra ID (Azure Active Directory), Single Sign-On (SSO), and Azure VDI. Experience onboarding and migrating applications to SSO. Experience with VPN and network security. Demonstrated knowledge in PowerShell scripting. Demonstrated knowledge and experience with device threat management solutions. CrowdStrike, SentinelOne, Microsoft Defender for Endpoint, etc. Demonstrated knowledge and experience of cloud-based email threat management solutions. Proofpoint, Mimecast, Check Point, etc. Demonstrated ability to technically lead IT projects. Strong problem-solving skills and ability to handle escalated technical issues. Excellent communication and interpersonal skills.

About the Opportunity An early-stage startup is seeking a Founding Engineer to lead the design, build, and maintenance of its cloud platform. This foundational role offers the chance to architect and develop all cloud infrastructure and systems from the ground up. Key Responsibilities Design and implement core infrastructure components, including service meshes, traffic management, and observability tools. Develop and manage applications within cloud environments using container technologies. Utilize infrastructure-as-code tools to automate deployment and management processes. Oversee operating system issues, storage solutions, networking configurations, and high-availability clusters. Build and support CI/CD platforms, automate infrastructure needs, and maintain systems through patching, upgrades, and monitoring. Scale infrastructure on distributed systems to meet growing demands. What We're Looking For Strong experience in platform and infrastructure engineering, with a background in DevOps practices. 6+ years of relevant experience in the field. Proficiency in programming languages such as Python, Rust, or C++. Experience deploying and managing container orchestration platforms. Knowledge of cloud infrastructure and networking principles. Nice to Have (Not Required) Familiarity with modern data storage formats and data engineering practices. Experience with cloud data warehouses and related technologies. Why Join? Opportunity to be a core part of an early-stage team with significant ownership and impact. Work on technically challenging projects in a fast-paced environment. Influence architecture and product decisions from the outset. Competitive salary with meaningful equity.

GenAI Solutions Engineer Pay: $100/hour Type: Contract Schedule: Monday - Friday Conde Group is seeking a GenAI Solutions Engineer to join a growing and dynamic team! Job Description: Accelerates user adoption through intuitive interfaces and seamless system integrations. Creates efficient data pipelines connecting LLMs to relevant utility information sources. Enables intelligent automation through multi-agent systems for complex workflows. Develop sustainable solutions that can evolve with business needs and technological advances. Build proof-of-concept applications and production-ready interfaces for GenAI capabilities. Connect AI services with enterprise systems (SAP, internal databases) for data exchange. Design and implement multi-agent architectures to solve complex business processes. Develop tool integration frameworks allowing AI to interact with utility systems. Create robust memory and reasoning systems for contextual, multi-step AI interactions. Implement appropriate guardrails and safety measures for AI agent systems. Gather requirements and translate business needs into technical implementation. Produce documentation and knowledge transfer materials for sustainable solutions. Position Requirements: Modern front-end frameworks, back-end technologies, and API design. Experience connecting disparate systems, data orchestration, and authentication. RAG architectures, prompt engineering, and agent orchestration frameworks. Knowledge of multi-agent systems, collaboration protocols, and tool integration. Understanding of chain-of-thought reasoning, context management, and planning algorithms. Ability to design intuitive AI interfaces with appropriate feedback mechanisms. Demonstrated ability to quickly build working demos and iterate based on feedback. Job Perks: Health Insurance 401K plan Conde Group does not just connect you with a job; we offer a Professional Mentoring & Education Program to help you be great at your job, love it, and grow. Conde Group is part of Array Corporation, the leading technology-enabled workforce solutions company whose mission is to fix how labor is bought, sold and delivered to enable universal access to the American Dream. We are proud to be an Equal Employment Opportunity and Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

AI Deployment Engineer (Pre-sales to Post-sales) Compensation & Perks Salary: $150k - $190k base + meaningful equity + benefits Location: Gorgeous office in Jackson Square, San Francisco (rooftop views & great coffee shops nearby) About the Company We're a Series B Voice AI startup that has raised $65 million from top-tier VCs including Emergence Capital, Y Combinator, and founders of major fintech and communications companies. We have a 40-person team and serve enterprise customers (incl. Fortune 500) by delivering the most friendly, helpful, and human-like AI phone agents in the world. Why This Role Exists Every customer is different - the results they want to drive, expectations of their customer base, and internal systems are totally varied. We need people who are excited to dive into that ambiguity to turn fuzzy goals into concrete plans, ship the first pathways yourself, then broaden adoption across our customer's organization. What You'll Do Presales partner Jump on discovery calls, whiteboard integrations, and explain our unique features (and ability to drive value) when speaking with product and engineering leaders. You're working directly with an AE to sell our platform - and to scope an implementation timeline and plan. Own implementation start-to-finish Design, build, and iterate pathways; wire up APIs; test relentlessly until the agent has our signature tone and feels human. Coordinate stakeholders Engineers, product, operations, and anyone else who's involved with implementation-you'll corral them, set timelines and expectations, persistently follow up, and make sure timelines are hit and outcomes are delivered. Move fast and iterate You build a thorough first agent (based on the scoping you define with the customer) and then you get it into production as fast as possible. You listen back to real calls, fix edge cases, then actively share those results with the customer's team to build excitement and demonstrate the progress you're driving. Expand the footprint By embedding yourself in the customer's organization, you understand the business priorities, know the value calls are driving, and you identify new opportunities for expansion and then are incredibly persistent to scope those expansions and work with sales to close the upsell. Be the face of the company You are the customer's champion, a defacto extension of our founding team, and you treat them with unreasonable hospitality. You travel on-site, get to know our customers on a human level, and develop real relationships with our champions and other stakeholders, going above and beyond to host training sessions and dinners. Must-have qualifications 3-7 years in solutions engineering, product-minded software engineering, founding a startup, or any role that proves you can own a customer-facing build from zero to production Technical skills: Comfortable reading & writing REST/JSON; able to sling quick Python or JS scripts to glue systems together Track record: Relentless ownership-moments where you ran through walls and surpassed immense challenges (can be both in personal and professional life) Communication: Clear communicator who can translate LLM quirks and the specifics of how our platform works to everyone on our customer's team (at the right level of complexity for your audience) Startup ready: Ready for the intensity of a fast-growing, early-stage startup-the work is hard, the pace is high. This is not a big tech job. You're joining us because you want to push yourself, you're ambitious, and you care about doing great work Location requirements: Will spend the first month full-time in our beautiful Jackson Square office in San Francisco, then stay mostly in-person or on customer sites. As we build our AI engineering team, we want people to be in-person as much as possible and we have a strong in-office culture Nice-to-haves Built side-projects or shipped production features with LLMs Prior life as a founder, solutions architect, PM, CSM, or any other role where you had high ownership over delivering outcomes and was customer facing Prior experience owning pre-sales to post-sales to expansions is a huge plus (as long as you're flexible and excited to learn how to work with LLMs!) Exceptional new grads with strong ownership and ambition are welcome to apply You'll thrive here if… You're smart, relentless, and love working with customers You're organized, keep tight timelines, and deliver clear updates (exceptionally thorough) You like hopping on planes to visit customers on site (not a requirement, but hopefully it's something you enjoy) You care about the craft and about our customers' customers - all our phone agents should sound truly human and have our signature tone - they should not sound like a corporate robot or like a phone tree Relentlessness is the most important quality If you think you're missing relevant experience but you're a fast learner who's excited for a new challenge - and you have the intangibles our team is looking for - please reach out. As long as you're resourceful and a fast learner (and you can prove it to our team) we would love to meet you.

About the role Glass Imaging is looking for a Machine Learning (ML) Infrastructure Engineer to re-design and develop the backbone of our ML training and evaluation ecosystem. As an experienced professional with a track record of success architecting solutions in this area, you will have the freedom to reshape our platform from the ground up-crafting everything from GPU allocation and data management to experiment tracking and evaluation pipelines. You'll be working closely with our ML researchers and engineers to understand their needs, streamline their workflows, and ensure that our platform can scale with the team. You will help create automated repeatable solutions, reducing manual overheads. While we prioritize clean, maintainable code, we operate in a fast-moving research environment where adaptability is key-this role offers plenty of opportunity to explore new ideas, refine solutions, and continuously improve our infrastructure. If you're excited by the prospect of taking ownership of a system that will serve as the core of our ML efforts, we'd love to talk. Right now, we're looking for someone eager to tackle these challenges hands-on, but as our team grows, this role will have the opportunity to take on more leadership responsibility, guiding the continued development of our ML platform and helping shape the team around it. Responsibilities Design & build a scalable, efficient Python infrastructure for training and evaluating ML models. Improve automation of ML train/test infrastructure. E.g. Inference tools that log, cache, and visually compare model outputs, provide code-free methods to run models on new datasets. Develop and manage systems for GPU resource allocation, dataset management, experiment tracking, and evaluation pipelines. Integrate job scheduling (e.g. SLURM). Implement automated dataset versioning and validation. Build tools for reporting and visualizing model metrics and performance. Improve developer efficiency by creating tools and workflows that streamline ML model iteration and testing. Add and improve performance profiling. Ensure scalability and reliability of the ML platform as the company grows. Collaborate closely with ML researchers and engineers to understand their workflows and translate their needs into robust infrastructure. Introduce best practices for code organization, version control, and reproducibility in ML experiments. Encourage modularity, reusability and portability. Required Skills Strong software engineering / software architect level skills Experience designing and building infrastructure for ML training workflows Familiarity with performance profiling and optimization for ML training Excellence in Python, Linux scripting, and typical ML frameworks (e.g., PyTorch, TensorFlow). Experience with GPU management, distributed computing, and optimizing training pipelines Passion for turning messy, unstructured codebases into clean, scalable platforms Seeing the big picture in terms of code repo structure, job orchestration, task pipelining, and on-prem ML Ops for efficient resource usage Preferred Skills Proficiency in C++ Experience with customization/design of ML experiment tracking tools (e.g., Weights & Biases, ClearML, etc.); creation / customization of web GUIs and dashboards or Mac OS apps Knowledge of database and storage solutions for ML datasets Experience managing on site linux servers, NAS arrays, with large scale datasets Knowledge of cloud computing (e.g. AWS, GCP, etc.) and containerization (Docker, Kubernetes, etc.) Knowledge in image restoration and image quality assessment Location & Travel We are primarily hiring for positions in our SF Bay Area, CA (primarily in-person) office but may consider other arrangements for outstanding circumstances. Compensation & Benefits Competitive pay Stock options Health/Dental/Vision Insurance 401(k) Visa Sponsorship About GLASS Imaging Our mission is to bring professional-level image quality to everyone by making cutting-edge image processing accessible to all devices-from smartphones and XR devices to infrastructure maintenance and security applications. We believe that AI-driven processing can extract every ounce of image quality from any camera, making capturing better pictures with any camera easier for everyone. But we aren't just enhancing how images are processed; we're revolutionizing how they're captured, redefining the core principles of camera design and reimagining how lenses, sensors, and AI-driven processing work together. We're fundamentally changing how cameras operate to unlock unprecedented levels of performance and image quality. Founded by former Apple engineers behind Portrait Mode and other groundbreaking iPhone camera features, we're a team of passionate and experienced engineers pushing the boundaries of photography. Join us in shaping the future of camera technology! Equal Opportunity & Diversity Statement Glass Imaging is committed to fostering a diverse and inclusive workplace. We celebrate differences and do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, veteran status, or any other protected status. We encourage individuals from all backgrounds to apply.

Do you have experience in building scalable, cloud-based systems from the ground up, then this is the role for you! As part of the Infrastructure Engineering team, you will design large-scale backend systems, implement scalable infrastructure to support large-scale Generative AI (GenAI) workloads, optimize systems for performance, and drive the development of GenAI infrastructure. Required Qualifications: Education Experience: Bachelor's degree in computer science, Computer Engineering, or relevant technical field, or equivalent practical experience. Professional Experience: A proven track record as a technical leader in developing scalable, maintainable, and high-performance cloud-native infrastructure. Hands-on involvement in the architecture, development, and deployment of reliable infrastructure. 8+ years of experience leading, mentoring, or managing software engineers. Core Technical Skills: Practical Expertise in one or more cloud platforms like AWS, Azure, or GCP including scaling with Docker and Kubernetes. Deep understanding of network architecture, protocols, and security best practices Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation Experience with containerization technologies like Docker, Kubernetes Familiarity with scripting languages like Python, Bash Experience with service mesh (Linkerd, Istio) and API gateways (Kong, Traefik) to enhance microservices deployment and management. Ability to tackle complex problems, make data-driven decisions, and apply best practices in secure software development. Preferred Qualifications: 10+ years of hands-on experience building and maintaining high performance scalable infrastructure Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in production environments. Proficiency in orchestration frameworks like Flyte, MLFlow or similar technologies for automating complex workflows

Build the OS for AI-first enterprises. We're not building another SaaS tool. We're creating the operating system that helps enterprises adopt AI. We partner with companies to solve their most complex operational challenges by embedding AI across every layer of their organization. Our platform, combined with a team of forward-deployed engineers and strategists, delivers intelligent workflows, autonomous agents, and modern internal systems that drive transformative ROI. What You'll Do As a founding Forward Deployed Engineer, you will partner directly with clients to understand their operations, identify automation opportunities, and ship full-stack applications that drive real impact. You'll be embedded at the edge of deployment, navigating ambiguity, translating complex needs into software, and pushing systems live in weeks, not quarters. You will: Design & Deploy AI Workflows: Build applications that combine intelligent agents, automation, and human-in-the-loop interfaces to transform core operations Work at the Edge of Deployment: Ship directly into real client environments-no handoffs, no demo-ware Build Full-Stack Systems: Operate across the stack, from frontend UX to backend services, data pipelines, and API integrations Solve in Real Time: Thrive in fast-changing, high-context environments where requirements evolve quickly and the stakes are high Influence Platform Strategy: Feed insights from the field back into core product and platform development Shape the Culture: As an early engineer, you'll help define our technical standards, team practices, and delivery playbooks What You'll Bring We're looking for sharp generalists who can build fast, think clearly, and thrive in complexity. You might be a fit if you have: 5+ years in software engineering, product development, or technical consulting Strength in full-stack development (Python, TypeScript, React or similar) Experience working with APIs, internal tools, or ML-integrated systems Comfort interfacing directly with clients, from scoping to delivery A product mindset-able to design solutions that are both usable and useful Curiosity and adaptability-ready to learn new industries, systems, and technologies quickly Strong communication and collaboration across technical and non-technical teams Bonus points for: Background in enterprise delivery (e.g., Palantir, BCG X, McKinsey Digital) Experience with AI/ML APIs, vector databases, or orchestration frameworks Building internal tools or operational platforms We value builders who are outcome-driven and low-ego-people who thrive in fast-moving environments where the answer isn't obvious. Perks & Benefits 💰 $140,000 - $170,000 base salary 📈 Generous equity grant 🏝 Unlimited PTO 🏥 Medical, dental, and vision insurance 🥗 Lunch, snacks, drinks-fuel provided 🤝 High-trust, low-ego team of real builders We're an equal opportunity employer. We hire based on talent, drive, and alignment with our mission-period. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic. If that sounds like the kind of company you want to build- 📩 *****************************

Job Title: Network/ IT Engineer Employment Type: 6-month contract with possibility of getting extended About the Role We are seeking a Network Engineer to support Operational Technology (OT) infrastructure across a dynamic manufacturing site. This role will focus on ensuring secure, efficient, and compliant network and system operations that align with IT infrastructure and GxP manufacturing standards. The ideal candidate will bring a strong technical foundation in networking, cybersecurity, and systems administration with the ability to execute tasks independently and collaborate across teams. Key Responsibilities Manage and maintain network infrastructure including routing, switching, subnetting, DNS, DHCP, FTP, and VPNs Support and troubleshoot firewalls (Cisco, Palo Alto, Fortinet) and apply appropriate access controls Implement and manage security zones, NAT, IDS/IPS, and other cybersecurity technologies Maintain and harden OS environments across Windows, Linux, and MacOS platforms Update and document network topologies and infrastructure diagrams Support infrastructure projects and system patching as needed Collaborate with site teams to execute IT tasks in GxP-regulated areas and ensure IT compliance Provide on-site support in server rooms across various campus buildings Use scripting tools (e.g., Python, Powershell, Ansible) to automate and streamline tasks Required Qualifications 5+ years of experience in an OT, IT, or Network Security role Experience in a Pharmaceutical Industry Understanding of GxP, GMP, or pharmaceutical manufacturing processes Strong knowledge of networking fundamentals (TCP/IP, OSI model, switching, routing) Hands-on experience with firewall configurations and access control Experience securing and managing multiple operating systems Familiarity with infrastructure documentation and network topology diagrams Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Title: AI Deployment Engineer 📍 San Francisco HQ (Strong in-office culture) - 5 days a week onsite ✈️ Frequent travel to client sites (nationwide) Our client is helping companies unlock the power of Large Language Models by turning ideas into production-ready AI systems-fast. As an AI Deployment Engineer, you'll sit at the beating heart of our client relationships, guiding teams from the initial idea to a fully deployed solution. You'll be a trusted technical partner to account executives and a hands-on builder for our clients, transforming ambiguity into clean, scalable AI deployments. This is not a behind-the-scenes role. You'll be in the room where it happens-on discovery calls, in whiteboard sessions, and onsite with clients-helping architect, implement, and explain AI-powered workflows that change the way businesses operate. If you're excited by messy problems, love talking to customers, and can wire up APIs with one hand while sketching systems diagrams with the other, this might be your dream job. Responsibilities: Partner with Sales and Customer Success teams to support the entire customer journey-from presales discovery through full post-sales implementation. Lead technical discovery calls with customers to uncover their pain points and explore AI use cases. Design high-level architecture and integration pathways, then own the implementation from start to finish. Write lightweight code (Python, JS) to connect APIs, automate workflows, and deploy LLM solutions. Translate complex LLM behavior and edge cases into clear, actionable insights for both technical and non-technical audiences. Travel frequently to work onsite with clients and ensure hands-on, successful delivery. Act as a key voice in evolving how we deploy AI-your feedback will shape our platform, playbooks, and product direction. Qualifications (Must-Have): 3-7 years of experience in solutions engineering, product-minded software engineering, startup founding, or any role where you've taken something from zero to production with a customer in the loop . Strong understanding of REST APIs, JSON, and the ability to quickly prototype with Python. Comfort with ambiguity-you know how to make progress without perfect specs or ideal environments. Clear and confident communicator-you can tailor your technical explanations to any audience. Comfortable operating in a fast-paced, early-stage startup-you're ambitious, gritty, and obsessed with doing great work. Bonus Points For: Experience deploying or integrating LLMs or other AI/ML systems. Familiarity with enterprise environments and integration constraints (SAML, SOC2, etc). Startup or consultancy background with strong client exposure. Prior technical sales or sales engineering experience. Benefits: Competitive salary + equity at a high-growth startup Full medical, dental, and vision coverage Frequent travel and client-facing opportunities All applicants must be fully authorized to work in the U.S. to qualify. Our client is unable to offer sponsorship for this role at this time.

A fast-growing generative AI company is looking for a Staff Cloud Infrastructure Engineer to build and scale high-performance GPU compute infrastructure. You'll help architect and operate the distributed systems powering real-time AI workloads used by millions. Focus: GPU orchestration, distributed systems, and large-scale cloud infrastructure Location: San Francisco (onsite) Experience: 5+ years in infrastructure or backend engineering Funding: Well-funded seed stage You'll work on: Managing large GPU clusters across cloud and bare metal Automating provisioning, scheduling, and workload scaling Building observability and performance tools for AI inference Collaborating with engineering teams to ship infra that scales fast Nice to have: Open source contributions in infrastructure, systems, or ML tooling.

Founding team of a new high-impact business group Function: Full Stack Engineering | Customer-Facing | 0→1 Product Builds We're helping a leading development tools platform with a triple digit year-over-year revenue growth rate hire founding engineers for a newly created, high-impact team. This group will build products from scratch in collaboration with their largest customers - solving complex problems and unlocking hundreds of millions in revenue You'll work directly with a senior engineering leader who was among the company's earliest employees and previously led platform engineering. Responsibilities: Collaborate closely with strategic customers to understand high-value, API-centric problems Design and build full-stack applications, integrations, and tools from the ground up Rapidly prototype, validate, and iterate based on user feedback Own the full technical stack - infrastructure, backend, frontend Influence product direction by sharing insights from the field Help define and scale the Forward Deployed Engineering function Ideal Profile: 2 to 5 years of professional experience as a full-stack or backend engineer Prior experience in customer-facing roles such as Solutions Architect, Technical Consultant or client facing Software engineers Strong generalist skills (Node.js, Python, React/Next.js, or similar) Experience building and deploying cloud-based applications (AWS/GCP/Azure) Comfortable navigating ambiguity and working in fast-paced, 0→1 environments Bonus: Background in developer tools, APIs, or interest in AI/automation Location: San Francisco, California This is a rare opportunity to work like a startup founder - solving critical problems with the scale and backing of an established platform. Apply if Interested!

Clearance Requirement: U.S. Citizenship required Experience Level: Senior (7+ years) iMETALX, Inc. is a company that aims to create a future where space is accessible and sustainable for all. We provide space domain awareness (SDA) and in-space servicing solutions for governments and businesses. iMETALX is looking for an engineer to join the team to work on cross-domain applications focusing on In-Space Servicing, Assembly, and Manufacturing (ISAM) such as on-orbit refueling, repositioning, and repair. This will span areas around spacecraft autonomy, such as world view, perception, and controls, as well as testing and deploying the software on real systems. iMETALX is looking for a platform engineer to bring on the team to support product development for various on-orbit demonstrations on our roadmap. Job Description: We are seeking a highly experienced Platform Systems Engineer to lead the design, development, and management of robust software platforms supporting high-performance computing and AI-enabled systems. This role requires deep technical knowledge in embedded systems, platform scalability, GPU integration, and infrastructure performance-across both edge devices and on-premises cloud environments. As a senior engineer, you'll work cross-functionally with software and hardware teams to deliver resilient, scalable platforms that meet demanding power, performance, and security requirements. Key Responsibilities Design, implement, and manage software platforms on Windows and Ubuntu using C++, Python, and deep learning frameworks (e.g., TensorFlow, PyTorch). Collaborate closely with hardware and software developers to ensure seamless integration, with attention to GPU compatibility, power requirements, and resource constraints. Architect and optimize platforms for scalability, efficiency, and network interfacing, supporting high-throughput and real-time performance. Support and enhance both developer and user experience by refining platform strategies, tooling, and build systems. Monitor system performance, perform root-cause analysis, and proactively troubleshoot platform-level issues. Drive CI/CD improvements and support the automation of routine tasks, especially for pre-deployment validation and platform testing. Ensure data protection, platform security, and vulnerability mitigation across systems. Implement and maintain containerization strategies (e.g., Docker), supporting modular and portable deployment. Design and maintain build frameworks that support multi-platform compilation and hardware abstraction layers. Work with architectures such as x86, mingw, ARM, and integrate across edge devices and on-prem/cloud-hosted systems. Optimize memory usage and structures to ensure deterministic and efficient behavior in constrained, real-time environments, and error handling. Implement support for network protocols and platform-level messaging between distributed components. Document processes, platform configurations, and operational workflows for reproducibility and team alignment. Stay current with emerging technologies and best practices in embedded systems, platform development, and devops. Qualifications U.S. Citizenship is required due to the nature of the work and customers. 7+ years of experience in embedded systems, platform engineering, or infrastructure development. Strong expertise with C++, Python, and working in Linux (Ubuntu) and Windows environments. Hands-on experience with deep learning frameworks and supporting GPU-accelerated applications. Deep understanding of containerization, build systems, and CI/CD pipelines. Experience with edge computing, site-hosted cloud architectures, and real-time system constraints. Familiarity with network protocols, memory management, and system-level performance tuning. Experience with x86, mingw, ARM and other hardware architectures common to embedded and platform development. Ability to own cross-functional development efforts and influence platform direction with minimal oversight. Strong documentation skills and a commitment to operational excellence. Preferred Qualifications: Experience with secure systems design or DoD/NASA platform standards Background in high-assurance, real-time, or safety-critical environments Contributions to open-source platform tools or embedded software frameworks Why Join Us? You'll be at the forefront of deploying intelligent systems in challenging environments-from space to the edge-while helping define the future of space AI platforms. We offer a highly collaborative team, cutting-edge hardware, and an environment where innovation is expected and rewarded.

Principal Engineer (Wireless Location Algorithm)- role for one of our clients, a wireless services company, this is a full time role located in Belmont, CA. They've developed a platform that can locate devices in real time using wireless signals - no GPS needed. That means it works indoors, underground, or anywhere GPS fails. The role will be all about signal processing and advanced algorithms. It's a small, sharp team where your work directly shapes the tech. If you're someone who enjoys solving hard signal problems, this would hit the mark! Qualifications: PhD or Masters in Electrical Engineer Expertise in the characteristics and nuances of key wireless technologies used for positioning, primarily in WiFi Technology Strong understanding of wireless systems and protocols (IEEE 802.11 standards) Strong background in communication theory and digital signal processing (DSP): Understanding concepts like modulation, coding, channel estimation, filtering, and signal detection Understanding of TDoA (Time Difference of Arrival) and related location techniques. Python and NumPy Knowledge of RF hardware Responsibilities: Creating innovative algorithms for wireless positioning, often using techniques like trilateration, triangulation, sensor fusion (combining data from different sensors like Wi-Fi, Bluetooth, UWB, GPS, IMUs), and probabilistic methods (e.g., particle filters). Build custom test fixtures to benchmark system and components Building and using computer models (often in MATLAB, Python, or C++) to simulate wireless environments and test the performance of their algorithms under various conditions Prototype improvements to existing location estimation techniques and adapt them to new industry standards Analyzing and resolving issues related to location accuracy and system performance in complex wireless environments

Solutions Engineer - Customer Integrations | Hybrid (3 days a week) | Up to $220K A high-growth, VC-backed SaaS company is hiring a Tech-Focused Solutions Engineer to lead custom technical projects for clients. This hybrid role combines hands-on development with client engagement - perfect for engineers who love solving complex problems with real business impact. What You'll Do Work with clients to understand needs and build tailored solutions. Develop custom connectors, apps, and workflows using Python, JavaScript, Ruby, Java, Go, or C/C++. Own projects from discovery through deployment. Collaborate with internal product and engineering teams. What We're Looking For 4+ years of software engineering experience. Strong coding and SQL/data modeling skills. Excellent communication and project management. Experience in customer-facing roles. Willingness to travel up to 25%. Compensation: Up to $220K base + equity Full company details shared during interview process.

About the Opportunity An early-stage startup is seeking a Founding Engineer to lead the design, build, and maintenance of its cloud platform. This foundational role offers the chance to architect and develop all cloud infrastructure and systems from the ground up. Key Responsibilities Design and implement core infrastructure components, including service meshes, traffic management, and observability tools. Develop and manage applications within cloud environments using container technologies. Utilize infrastructure-as-code tools to automate deployment and management processes. Oversee operating system issues, storage solutions, networking configurations, and high-availability clusters. Build and support CI/CD platforms, automate infrastructure needs, and maintain systems through patching, upgrades, and monitoring. Scale infrastructure on distributed systems to meet growing demands. What We're Looking For Strong experience in platform and infrastructure engineering, with a background in DevOps practices. 6+ years of relevant experience in the field. Proficiency in programming languages such as Python, Rust, or C++. Experience deploying and managing container orchestration platforms. Knowledge of cloud infrastructure and networking principles. Nice to Have (Not Required) Familiarity with modern data storage formats and data engineering practices. Experience with cloud data warehouses and related technologies. Why Join? Opportunity to be a core part of an early-stage team with significant ownership and impact. Work on technically challenging projects in a fast-paced environment. Influence architecture and product decisions from the outset. Competitive salary with meaningful equity.

AI Deployment Engineer (Pre-sales to Post-sales) Compensation & Perks Salary: $150k - $190k base + meaningful equity + benefits Location: Gorgeous office in Jackson Square, San Francisco (rooftop views & great coffee shops nearby) About the Company We're a Series B Voice AI startup that has raised $65 million from top-tier VCs including Emergence Capital, Y Combinator, and founders of major fintech and communications companies. We have a 40-person team and serve enterprise customers (incl. Fortune 500) by delivering the most friendly, helpful, and human-like AI phone agents in the world. Why This Role Exists Every customer is different - the results they want to drive, expectations of their customer base, and internal systems are totally varied. We need people who are excited to dive into that ambiguity to turn fuzzy goals into concrete plans, ship the first pathways yourself, then broaden adoption across our customer's organization. What You'll Do Presales partner Jump on discovery calls, whiteboard integrations, and explain our unique features (and ability to drive value) when speaking with product and engineering leaders. You're working directly with an AE to sell our platform - and to scope an implementation timeline and plan. Own implementation start-to-finish Design, build, and iterate pathways; wire up APIs; test relentlessly until the agent has our signature tone and feels human. Coordinate stakeholders Engineers, product, operations, and anyone else who's involved with implementation-you'll corral them, set timelines and expectations, persistently follow up, and make sure timelines are hit and outcomes are delivered. Move fast and iterate You build a thorough first agent (based on the scoping you define with the customer) and then you get it into production as fast as possible. You listen back to real calls, fix edge cases, then actively share those results with the customer's team to build excitement and demonstrate the progress you're driving. Expand the footprint By embedding yourself in the customer's organization, you understand the business priorities, know the value calls are driving, and you identify new opportunities for expansion and then are incredibly persistent to scope those expansions and work with sales to close the upsell. Be the face of the company You are the customer's champion, a defacto extension of our founding team, and you treat them with unreasonable hospitality. You travel on-site, get to know our customers on a human level, and develop real relationships with our champions and other stakeholders, going above and beyond to host training sessions and dinners. Must-have qualifications 3-7 years in solutions engineering, product-minded software engineering, founding a startup, or any role that proves you can own a customer-facing build from zero to production Technical skills: Comfortable reading & writing REST/JSON; able to sling quick Python or JS scripts to glue systems together Track record: Relentless ownership-moments where you ran through walls and surpassed immense challenges (can be both in personal and professional life) Communication: Clear communicator who can translate LLM quirks and the specifics of how our platform works to everyone on our customer's team (at the right level of complexity for your audience) Startup ready: Ready for the intensity of a fast-growing, early-stage startup-the work is hard, the pace is high. This is not a big tech job. You're joining us because you want to push yourself, you're ambitious, and you care about doing great work Location requirements: Will spend the first month full-time in our beautiful Jackson Square office in San Francisco, then stay mostly in-person or on customer sites. As we build our AI engineering team, we want people to be in-person as much as possible and we have a strong in-office culture Nice-to-haves Built side-projects or shipped production features with LLMs Prior life as a founder, solutions architect, PM, CSM, or any other role where you had high ownership over delivering outcomes and was customer facing Prior experience owning pre-sales to post-sales to expansions is a huge plus (as long as you're flexible and excited to learn how to work with LLMs!) Exceptional new grads with strong ownership and ambition are welcome to apply You'll thrive here if… You're smart, relentless, and love working with customers You're organized, keep tight timelines, and deliver clear updates (exceptionally thorough) You like hopping on planes to visit customers on site (not a requirement, but hopefully it's something you enjoy) You care about the craft and about our customers' customers - all our phone agents should sound truly human and have our signature tone - they should not sound like a corporate robot or like a phone tree Relentlessness is the most important quality If you think you're missing relevant experience but you're a fast learner who's excited for a new challenge - and you have the intangibles our team is looking for - please reach out. As long as you're resourceful and a fast learner (and you can prove it to our team) we would love to meet you.

Title: AI Deployment Engineer 📍 San Francisco HQ (Strong in-office culture) - 5 days a week onsite ✈️ Frequent travel to client sites (nationwide) Our client is helping companies unlock the power of Large Language Models by turning ideas into production-ready AI systems-fast. As an AI Deployment Engineer, you'll sit at the beating heart of our client relationships, guiding teams from the initial idea to a fully deployed solution. You'll be a trusted technical partner to account executives and a hands-on builder for our clients, transforming ambiguity into clean, scalable AI deployments. This is not a behind-the-scenes role. You'll be in the room where it happens-on discovery calls, in whiteboard sessions, and onsite with clients-helping architect, implement, and explain AI-powered workflows that change the way businesses operate. If you're excited by messy problems, love talking to customers, and can wire up APIs with one hand while sketching systems diagrams with the other, this might be your dream job. Responsibilities: Partner with Sales and Customer Success teams to support the entire customer journey-from presales discovery through full post-sales implementation. Lead technical discovery calls with customers to uncover their pain points and explore AI use cases. Design high-level architecture and integration pathways, then own the implementation from start to finish. Write lightweight code (Python, JS) to connect APIs, automate workflows, and deploy LLM solutions. Translate complex LLM behavior and edge cases into clear, actionable insights for both technical and non-technical audiences. Travel frequently to work onsite with clients and ensure hands-on, successful delivery. Act as a key voice in evolving how we deploy AI-your feedback will shape our platform, playbooks, and product direction. Qualifications (Must-Have): 3-7 years of experience in solutions engineering, product-minded software engineering, startup founding, or any role where you've taken something from zero to production with a customer in the loop . Strong understanding of REST APIs, JSON, and the ability to quickly prototype with Python. Comfort with ambiguity-you know how to make progress without perfect specs or ideal environments. Clear and confident communicator-you can tailor your technical explanations to any audience. Comfortable operating in a fast-paced, early-stage startup-you're ambitious, gritty, and obsessed with doing great work. Bonus Points For: Experience deploying or integrating LLMs or other AI/ML systems. Familiarity with enterprise environments and integration constraints (SAML, SOC2, etc). Startup or consultancy background with strong client exposure. Prior technical sales or sales engineering experience. Benefits: Competitive salary + equity at a high-growth startup Full medical, dental, and vision coverage Frequent travel and client-facing opportunities All applicants must be fully authorized to work in the U.S. to qualify. Our client is unable to offer sponsorship for this role at this time.

About the Opportunity An early-stage startup is seeking a Founding Engineer to lead the design, build, and maintenance of its cloud platform. This foundational role offers the chance to architect and develop all cloud infrastructure and systems from the ground up. Key Responsibilities Design and implement core infrastructure components, including service meshes, traffic management, and observability tools. Develop and manage applications within cloud environments using container technologies. Utilize infrastructure-as-code tools to automate deployment and management processes. Oversee operating system issues, storage solutions, networking configurations, and high-availability clusters. Build and support CI/CD platforms, automate infrastructure needs, and maintain systems through patching, upgrades, and monitoring. Scale infrastructure on distributed systems to meet growing demands. What We're Looking For Strong experience in platform and infrastructure engineering, with a background in DevOps practices. 6+ years of relevant experience in the field. Proficiency in programming languages such as Python, Rust, or C++. Experience deploying and managing container orchestration platforms. Knowledge of cloud infrastructure and networking principles. Nice to Have (Not Required) Familiarity with modern data storage formats and data engineering practices. Experience with cloud data warehouses and related technologies. Why Join? Opportunity to be a core part of an early-stage team with significant ownership and impact. Work on technically challenging projects in a fast-paced environment. Influence architecture and product decisions from the outset. Competitive salary with meaningful equity.