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Senior Software Engineer, AI Agent Systems Architect

corellia talent • United State
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Build and architect autonomous AI agents capable of generating, testing, and deploying production software. Design core intelligence systems for planning, reasoning, tool integration, and self-improvement at enterprise scale. Own the architecture of agent workflows, validation pipelines, and real-world learning mechanisms for a fast-growing AI startup.

Key Highlights
Architect AI agents with autonomous reasoning, tool integration, and self-improvement capabilities
Build production-scale systems for code generation, validation, and deployment orchestration
Own core AI agent architecture with experience in multi-step workflows and non-deterministic system design
Key Responsibilities
Design and implement AI agent systems capable of autonomous planning, reasoning, and multi-step execution
Develop workflows for tool integration, code generation, and self-verification of agent outputs
Build evaluation and validation systems for generated code and agent performance metrics
Create memory, feedback loops, and learning pipelines for continuous agent improvement
Integrate agents with development environments, browsers, and internal tools at production scale
Optimize orchestration across generation, validation, deployment, and monitoring pipelines
Technical Skills Required
TypeScript Python Automated Testing
Benefits & Perks
$180,000 to $300,000 base plus equity
Unlimited PTO
Full medical, dental, and vision coverage
Nice to Have
Experience with multi-agent systems
Background in code generation products or browser/computer agent development
Founding engineer or competitive programming/open-source contributions

Job Description

Software Engineer, AI Agents (San Francisco Bay Area, on-site)

Corellia Talent is partnering with a fast-growing, venture-backed AI company in the Bay Area to hire Software Engineers to build their AI agents.

About the company

Our client builds autonomous AI agents that generate, test and ship production software, then learn from real-world results. The product is live with well-known enterprise customers, generating revenue and growing quickly, and the company recently raised its Series A from top-tier investors.

The role

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