Added
4 days ago
Type
Contract
Salary
Salary not provided

Related skills

postgresql python fastapi langgraph google gemini

πŸ“‹ Description

  • Build and deliver LLM-powered features end to end, including agentic workflows, retrieval
  • Develop production-ready FastAPI services with streaming, persistence, automated testing, and
  • Establish and maintain evaluation datasets, regression suites, and LLM-as-a-judge mechanisms to
  • Optimize the context provided to models by transforming user questions into effective search
  • Diagnose incorrect or low-quality responses by determining whether issues originate from retrieval
  • Instrument and monitor AI workflows using tracing and observability tools such as Langfuse and

🎯 Requirements

  • 5+ years of professional software engineering experience, with strong hands-on experience building
  • Demonstrated experience taking LLM-powered features from prototype to production and maintaining
  • Practical experience with agentic AI or orchestration frameworks, ideally LangGraph.
  • Strong hands-on experience with Retrieval-Augmented Generation (RAG), including retrieval
  • Experience debugging production LLM systems using tracing, evaluation frameworks, latency analysis
  • Professional experience deploying and operating cloud-based services, preferably within Microsoft

🎁 Benefits

  • B2B contract arrangement.
  • 100% remote work.
  • Long-term engagement and the opportunity to contribute to a live production LLM product.
  • Hands-on exposure to modern generative AI and LLM technologies.
  • Work with a contemporary technology stack spanning agentic AI, RAG, cloud infrastructure
  • Flexible working environment designed to support autonomy and effective collaboration.
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