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Enterprise Applied AI Engineer (Healthcare & Life Sciences)
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AI Summary
Build the core intelligence of autonomous AI agents that write, test and ship production software. Design agent workflows, evaluation systems, memory, feedback loops and tool integrations at production scale. Requires production experience with multi-step agent systems, strong full-stack skills (TypeScript, React, Python) and reliable systems engineering.
Key Highlights
On-site five days a week in the San Francisco Bay Area
$250,000 to $300,000 base plus equity
Relocation support available; TN, H-1B transfer and F-1 OPT welcome
No new H-1B sponsorship
Systems engineering focus, not prompt engineering
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Key Responsibilities
Build agents that produce high-quality software and product experiences
Design agent workflows for planning, reasoning, tool use and multi-step execution
Build the systems that let agents test, verify and improve their own output
Create evaluation and validation systems for generated code
Build agent memory, feedback loops and learning pipelines
Connect agents to browsers, development environments and internal tools
Improve orchestration across generation, validation, deployment and monitoring at production scale
Technical Skills Required
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Benefits & Perks
Equity
Relocation support
Unlimited PTO
401k match
Full medical, dental and vision
Meals in the office
Interested in relocating to United States? Check out our comprehensive Relocation Jobs in United States page with detailed relocation packages and benefits.
Nice to Have
Multi-agent systems
Code generation products
Browser agents, computer use or developer tooling
Previous founder or founding engineer experience
Competitive programming or open-source contributions
Job Description
Corellia Talent is working with a fast-growing, venture-backed AI company in the Bay Area to hire engineers to build the agents at the heart of its product.
About the company
Our client builds autonomous AI agents that write, test and ship production software, then learn from how it performs in the real world. The product is live with well-known enterprise customers, revenue is growing quickly, and the company recently raised its Series A from top-tier investors.
The role
You'll own the core intelligence of their agents: how they plan, reason, use tools, check their own work and get better over time. This is systems engineering, not prompt engineering.
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