Related skills
docker postgresql python kubernetes gcp📋 Description
- Lead design of agentic architectures (multi-agent orchestration, tools, planning, memory)
- Define RAG architectures: retrieval, context engineering, hybrid search, latency optimization
- Establish prompt engineering standards and governance
- Design evaluation frameworks for model performance (hallucinations, precision/recall)
- Define observability for multi-agent systems (tracing, debugging, monitoring)
- Architect scalable backend services and APIs (FastAPI) and secure enterprise integrations
🎯 Requirements
- 5+ years software engineering, 2–3+ years in production AI/LLM systems
- Expert-level Python, including AsyncIO
- Strong experience designing RAG pipelines, vector search, GenAI
- Proven experience architecting multi-agent systems or AI workflows
- Deep experience with FastAPI for scalable backend services
- Strong knowledge of PostgreSQL and vector databases (pgvector)
🎁 Benefits
- Professional growth
- Dynamic work environment
- Competitive salary
- Attractive benefits plan
- Benefits of law and superiors
- Development opportunities
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