Related skills
postgresql python rag langchain openaiπ Description
- Design, build, and ship agentic workflows across domains.
- Own end-to-end lifecycle: data ingestion to monitoring.
- Build multi-step agents with autonomous planning, memory, and tool use.
- Architect systems with LangChain, LlamaIndex, OpenAI Assistants, MCP.
- Deploy agents as microservices with observability, guardrails, fallbacks.
- Optimize inference cost, latency, and accuracy; drive production readiness.
π― Requirements
- Degree in computer science or related field.
- 8+ years as a developer; 2+ years AI developer.
- Strong SDLC understanding; Agile & Scrum experience.
- LLM experience: OpenAI, Anthropic, Gemini, Llama, DeepSeek.
- Experience with agent frameworks and MCP: LangChain, OpenAI agent SDK, MCP integrations.
- Retrieval/embeddings/vector DBs (Pinecone, Weaviate, Chroma, PGVector) and structured function-calling workflows (JSON schema, tool plans, agent graphs).
π Benefits
- Remote-friendly with one-time home office allowance and internet stipend.
- Competitive health benefits, dental plans, and retirement savings plan.
- Annual fitness allowance.
- Mental health support via Calm Premium and Talkspace.
- Access to Udemy, internal training programs, and certifications.
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