Location: San Francisco (preferred) or Remote (US)
Company Stage of Funding: Series B
Office Type: Remote
Salary: $150,000 – $180,000
Our client is a fast-growing AI company building enterprise-grade AI agents and models used in high-stakes industries like insurance, finance, and healthcare. In just three years, the company has scaled from $0 to $10M+ in revenue and serves dozens of Fortune 500 clients globally. Backed by over $100M in Series A and B funding, they’re on a mission to reshape how organizations operate through applied AI.
This is a rare opportunity to join a deeply technical and mission-driven team at the forefront of enterprise AI integration. You’ll work directly with customers and internal stakeholders to bring state-of-the-art systems into production environments—making a real impact across critical industries.
Collaborate with product and engineering teams to develop backend components (e.g., authentication, monitoring, usage management).
Serve as the technical bridge between the company and enterprise clients to deploy, customize, and maintain AI systems in real-world workflows.
Work hands-on with system integrators and customers to ensure smooth implementation and ongoing optimization of solutions.
Help define and improve deployment practices, documentation, and tooling to accelerate customer success.
Operate as both an engineer and a consultant—bringing together technical depth and customer empathy.
3–5 years of experience in backend or fullstack development.
Proven experience working directly with enterprise customers in implementation or support roles.
Strong track record deploying systems into production, ideally in regulated or enterprise environments.
Startup experience, preferably within the AI or devtools space.
Excellent communication skills—comfortable interfacing with both technical and non-technical stakeholders.
Proficiency with Python and FastAPI, as well as frontend frameworks like TypeScript/React.
Familiarity with LLM-based workflows, developer platforms, and prompt engineering concepts.
Experience deploying and scaling infrastructure in AWS or Azure environments.
Strong intuition for debugging and iterative problem-solving in ambiguous or evolving customer contexts.
Base Salary: $150,000 – $180,000
Visa Sponsorship: Available for exceptional talent
Work Environment: Remote-friendly, with preference for SF-based candidates
Work alongside a world-class team of AI researchers, engineers, and builders
Make a tangible impact by delivering AI systems in highly visible, mission-critical settings
Career growth in a scaling company with significant Series B backing
This is a high-impact role where you’ll shape how AI is delivered and adopted across some of the world’s most complex industries. If you thrive in a fast-paced environment, love working closely with customers, and want to build real-world AI systems—this opportunity is for you.