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docker postgresql python kubernetes elasticsearch📋 Description
- Build backend systems powering agent workflows and data pipelines.
- Design retrieval pipelines, orchestration layers, and multi-step agents.
- Improve LLM workflows, reducing latency and boosting accuracy.
- Develop evaluation frameworks for agent systems at scale.
- Design human-in-the-loop systems with frictionless feedback.
- Ship with the customer in mind and measure impact.
🎯 Requirements
- 5+ years building backend systems in production (search/retrieval, data pipelines, or APIs).
- Experience building or evaluating agentic/LLM-powered systems.
- Strong software engineering fundamentals: Python, APIs, CI/CD.
- Familiarity with search/retrieval systems; PGVector, Pinecone, Elasticsearch.
- Experience with cloud infra (AWS, GCP, Azure).
- AI coding tools experience (Copilot, Curssor, Claude Code).
🎁 Benefits
- High performance culture with career development and annual reviews.
- Extended health and dental coverage starts Day 1.
- Employee Stock Option Plan for full-time employees.
- Take The Time You Need vacation policy.
- AI First culture; Friday Show, Don’t Tell Meetings.
- Mac/PC and top-tier tooling provided to all employees.
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