AI Agent Developer (LLM & Agent Systems)
Posted Updated 17
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Summary
Builds AI agents and LLM tools to automate laboratory workflows, designs agent architectures, and optimizes models for domain-specific tasks.
- Analyze laboratory use cases
- Design LLM tools
- Develop agent architectures
- Evaluate LLM and agent outputs
- Integrate LLM and agent systems
- Optimize LLM functions
- Prototype and validate agents on laboratory data
- Refine agent workflows
- Translate domain requirements into agent behaviors
Perks/Benefits:
- Continuous learning opportunities
- Hybrid work
- Remote work
