Related skills
postgresql python typescript rag llm📋 Description
- Design and build agentic AI systems that automate audit workflows end-to-end
- Translate customer problems into concrete agent behaviors and orchestration logic
- Orchestrate LLMs, tools, retrieval, and business logic into reliable, production-grade agent experiences
- Own agents across their lifecycle: delivery, reliability, performance, and observability
- Use AI to accelerate design, build, test, and iteration cycles
- Prototype quickly, then harden systems for enterprise-grade reliability
🎯 Requirements
- 3–6+ years shipping production software in complex, real-world systems
- Strong command of TypeScript, Python, and Postgres
- Shipped LLM-powered features serving real production traffic
- Built retrieval pipelines and agent orchestration systems
- Implemented evaluation frameworks for model outputs and agent behavior
- Worked with vector databases, embedding models, and RAG architectures
🎁 Benefits
- Competitive compensation with equity
- Comprehensive health and wellness benefits
- Flexible time off and work schedules
- Technology reimbursements
- 401(k) plan
- Twice-yearly in-person offsites across the U.S.
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