Build and deploy enterprise GenAI application services focused on orchestration, capability discovery, reusable skills, intent routing, agent chaining, tool management, and structured response generation. Design APIs and JSON schemas, combine contextual inputs for downstream agents, and transform agent outputs into narratives, tables, charts, citations, and consistent payloads. Deliver tested, production-ready solutions using AWS, Amazon Bedrock, and AgentCore.
This is a remote position.
Our client, a world leader in biotechnology and life sciences, is looking for a “GenAI Engineer”.
Location: South San Francisco, CA (Fully Remote)
Job Duration: Long-Term Contract (Possibility Of Extension)
Company Benefits: Medical, Paid Sick Leave, 401 (k)
Job Summary
Seeking a GenAI Engineer to build an enterprise GenAI application layer focused on orchestration, capability discovery, and reusable skills. The role will implement intent routing, agent chaining, tool/skill management, and structured response generation using existing agents and data services.
- Strong Python or TypeScript backend engineering experience.
- Production experience with agent orchestration, tool calling, workflow routing, and multi-agent chaining.
- Strong API and schema design skills, including structured JSON input/output contracts.
- Experience combining user intent, conversation history, screen context, and filters into downstream agent requests.
- Experience transforming agent results into narratives, tables, charts, citations, and consistent response payloads.
- Hands-on experience building and deploying GenAI services using AWS, Amazon Bedrock, and AgentCore.
- Ability to independently deliver tested, production-ready code with minimal guidance.
- Capability registries, agent/tool catalogs, workflow skills, or discovery services.
- MCP and API-first GenAI applications.
- Analytics applications built on semantic-layer or data-query agents.
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