Related skills
backend python elasticsearch apis rag📋 Description
- Build backend systems powering agentic workflows
- Design retrieval pipelines, orchestration layers, and multi-step agents
- Own evaluation of agentic systems at scale (auto & human-in-the-loop)
- Design hybrid retrieval, ranking, and post-retrieval synthesis
- Improve end-to-end LLM workflows; reduce latency
- Ship with the customer in mind; measure impact; iterate
- Collaborate with product, infra, and data teams; establish patterns
- Stay on the frontier; evaluate LLMs and retrieval architectures
🎯 Requirements
- Production backend experience in at least one area: search, data pipelines, distributed systems, or API-heavy
- Hands-on with search, retrieval, or ranking systems
- Experience building or evaluating agentic/LLM-powered systems
- Strong Python and backend fundamentals; APIs; CI/CD; reliability
- Familiarity with vector databases and search infra: FAISS, PGVector, Pinecone, Weaviate, Elasticsearch or OpenSearch
- Cloud infrastructure (AWS, GCP, or Azure) for scale and latency
- Experience using AI coding tools (Copilot, Cursor, Claude Code)
- Customer-oriented mindset; able to own problems end-to-end
- Ability to lead projects and provide technical direction
🎁 Benefits
- High-performance culture with career development and reviews
- Comprehensive benefits: health & dental from Day 1; discounts
- Employee Stock Option Plan (ESOP) for full-time staff
- Take The Time You Need vacation policy
- Top-tier tools: Mac/PC and tooling; AI First culture
- Growth & Leadership access to leadership and cross-team collaboration
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