Mid Level Full Stack AI Engineer Jobs
Mid level full stack ai engineer jobs go to engineers ready to own features end to end, guide junior teammates, and make architectural decisions with limited oversight. Openings run across Technology & Software, Manufacturing, and Electronics & Hardware, with 42% remote or hybrid availability, and employers like KLA, JPMorganChase, and Micron Technology hiring at this level now.
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INTRODUCTION
Build a safer world with us, one incident at a time. Ambient.ai is the category creator and leader in Agentic Physical Security. Powered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. The results: 95% fewer false alarms, investigations 20x faster, and 10x faster response. The momentum speaks for itself: we doubled new ARR in FY26, and have delivered results for world-class customers including Cisco, ServiceNow, SentinelOne, Bayer, and Adobe. That kind of momentum creates an environment where great people thrive, and it shows: we recently ranked #71 out of 500 on the Forbes best startup employers list. Founded in 2017 and backed by Andreessen Horowitz and Allegion Ventures, Ambient.ai is on a fast-paced journey to fulfill our mission: prevent every security incident possible. Ready to learn more? Connect with us on LinkedIn and YouTube.
ABOUT THE ROLE
We’re looking for a Full-Stack Engineer to help build and scale the core systems that power Ambient.ai’s real-time AI security platform. In this role, you’ll work on software that ingests, processes, and interprets massive volumes of video and event data in real time - transforming raw signals into actionable intelligence for some of the world’s largest enterprises. You can expect to regularly take on technically challenging problems in a fast-moving, collaborative environment and to see your work deployed in mission-critical customer environments.
- Build and maintain full-stack features using React, TypeScript and Python
- Partner with product and design to translate user needs into intuitive interfaces and high quality workflows
- Create and maintain APIs and backend services. This includes working with data flows between edge devices, cloud services and client applications
- Optimize performance across the stack with a focus on responsiveness, reliability and scalability
- Contribute to architectural decisions including data storage, caching, service boundaries and partitioning
- Review code, mentor other engineers and promote strong engineering practices
- Work with cloud infrastructure, CI/CD pipelines and modern DevOps tooling
- Participate in planning, design reviews and cross-team collaboration
WHAT YOU'LL BRING
- BS in Computer Science or equivalent field with a programming background
- At least 4+ years of experience building scalable and available web services
- Strong experience working with at least one of the Object-oriented Programming Languages, like Python, Django, and React.js, would be required
- Expertise in APIs (REST / GraphQL), general web backend design principles, relational databases (MySQL / Postgres), streaming pipelines, pub-sub systems, and indexing systems
- Write clean and maintainable code
- Design and implement complex systems including communication between several services (pub-sub paradigm, microservices architecture)
- Manage service reliability, including any cloud operations work (AWS, Google Cloud)
- Experience with Redis, Kafka, RabbitMQ, ActiveMQ, or similar tools/technologies will be highly preferred
- Experience building SaaS product offerings will be a huge advantage
WHY JOIN US
- We are creating an entirely new category within a 180+ billion-dollar physical security industry and looking for team members who are also passionate about our mission to prevent every security incident possible
- We partner with an incredible customer roster of F500 companies, including Adobe, TikTok, Gap and SentinelOne
- Regular Full-time employees receive stock options for the opportunity to share ownership in the success of our company
- Comprehensive health + welfare package (Medical, Dental, Vision, Life, EAP, Legal Services, 401k plan)
- We offer flexible time off to rest and recharge, including Winter Break (time off between Christmas and New Year’s for most roles, depending on customer demand)
- The latest tech and awesome swag will be delivered to your door
- Enjoy a full range of opportunities to connect with your awesome co-workers
- We love to hike, are foodies, and love music! Check out our most recent Ambient Spotify Playlist
We’ve found that in-person time meaningfully supports collaboration, creativity, and team alignment. Our talent, engineering, product, design, and marketing teams work from our Redwood City office three days a week. All other Bay Area employees join on Fridays to stay connected and close out the week together. Ready to learn more? Connect with us on LinkedIn | YouTube
Ambient.ai is proud to be an Equal Opportunity Employer. Ambient does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. Ambient is an E-Verify participant.
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Top Industries Hiring
- Technology & Software11
- Manufacturing7
- Electronics & Hardware4
- Education3
- Staffing & Recruiting3
Mid Level Full Stack AI Engineer Jobs: Frequently Asked Questions
How do I get a mid level full stack ai engineer job?
Position yourself around ownership, not just contribution. Highlight projects where you drove decisions, integrated AI components into production systems, and delivered results with minimal hand-holding. Tailor your resume to show full stack depth across both frontend and backend, with clear examples of AI or ML feature work. Applications that demonstrate initiative and measurable impact land mid level roles faster than those that list technologies alone.
Which companies hire mid level full stack ai engineers?
Companies hiring mid level full stack ai engineers right now include KLA, JPMorganChase, and Micron Technology, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers growth-stage startups building AI-native products and established enterprises modernizing existing platforms with machine learning and large language model integrations.
Are there remote mid level full stack ai engineer jobs?
Yes, remote work is well established at this level. About 42% of mid level full stack ai engineer openings are remote or hybrid as of November 2026, reflecting strong employer demand for experienced engineers who can operate independently without in-person oversight. Hybrid roles are especially common at larger organizations that want some on-site collaboration while still competing for distributed talent.
How do I move up to a mid level full stack ai engineer role?
The jump from entry level to mid level comes from accumulated ownership, not just time served. Focus on taking full responsibility for discrete features, learning how AI components fit into larger system architectures, and documenting the decisions you made along the way. Engineers who land mid level roles consistently show they can scope work, unblock themselves, and produce measurable outcomes without step-by-step direction.
Which industries hire the most mid level full stack ai engineers?
Mid Level full stack ai engineer roles concentrate in Technology & Software, Manufacturing, and Electronics & Hardware, based on current listings on Migrate Mate as of November 2026. These sectors drive the strongest hiring at this level because they are actively embedding AI capabilities into customer-facing products and internal workflows, creating sustained demand for engineers who can build across the full stack with practical AI experience.