Job Description

We're looking for a hands-on Python engineer with deep experience in building GenAI applications at production scale. You'll design and implement LLM-powered systems—prompt pipelines, RAG, agents, evaluation frameworks—and ship reliable, secure, and cost-efficient AI features used by customers/stakeholders.

Key Responsibilities

  • Design & Build GenAI Services: Implement prompt orchestration, tool-using agents, and RAG pipelines (indexing, chunking, embeddings, retrieval, ranking, grounding, guardrails).
  • Model Integration: Integrate OpenAI/Azure OpenAI/Claude/Llama (hosted or self-hosted) via SDKs; evaluate models for latency, accuracy, and cost; fine-tune or instruct-tune where appropriate.
  • Data & Features: Build ETL/data pipelines to prepare un/structured data; manage vector databases; implement prompt templat...

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