Related skills
backend observability rag llm agents📋 Description
- Build MCP servers linking internal systems into a cohesive interface.
- Expand and operate LLM gateway infra: routing, rate limiting, cost attribution.
- Turn early patterns into durable defaults: prompts, guardrails, policy-as-code.
- Shape structured context artifacts for accurate LLM reasoning.
- Improve internal knowledge discovery and retrieval for people and agents.
- Build sandbox tooling for safe AI experiments and rapid prototyping.
🎯 Requirements
- 5+ years of backend development in complex production systems.
- Fluency across languages; navigate platform engineering, infra, and tooling.
- Hands-on experience building LLM-powered systems (RAG, agents) and production.
- Understand cost, observability, latency, and safety tradeoffs in AI deployments.
- High-agency and self-directed; can operate without tight scope and find leverage.
- Clear communication across technical and non-technical audiences.
🎁 Benefits
- Equity and comprehensive benefits.
- Inclusive culture with Equal Employment Opportunity and accommodations for applicants with disabilities.
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