Job Description
We are looking for a highly experienced GenAI Engineer with deep expertise in prompt engineering, retrieval-augmented generation (RAG), and vector-based search systems to help integrate GenAI into our engineering and DevOps ecosystem.
As a contractor in this role, you will build intelligent, context-aware assistants and agents that augment CI/CD workflows, knowledge retrieval, incident handling, and developer productivity using LLMs, Python, and NLP pipelines. You will lead the charge in making our platform smarter and more autonomous by embedding GenAI natively into infrastructure and developer experience workflows.
Key Responsibilities:
- Design, iterate, and optimize prompts for task-specific LLM workflows with high accuracy, relevance, and controllability
- Build RAG pipelines using vector databases like FAISS, Weaviate, Pinecone, or similar to support knowledge retrieval and contextual AI agents
- Integrate LLMs into internal engineering tools...
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