Chief Genai Architect

4 days ago

Hubli, Karnataka, India beBeeGenai Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
As a seasoned technologist, you will play a pivotal role in integrating large language models into our engineering and DevOps ecosystem.

Key Responsibilities

  • Design and optimize prompts for Large Language Model (LLM) workflows to ensure accuracy and relevance.
  • Build Retrieval-Augmented Generation (RAG) pipelines using vector databases such as FAISS, Pinecone, Weaviate, or Qdrant.
  • Integrate LLMs into internal tools, CI/CD, and observability dashboards.
  • Implement GenAI solutions using LangChain, LlamaIndex, Haystack, and Hugging Face.
  • Fine-tune open-source or commercial LLMs for domain use cases.
  • Collaborate with DevOps and platform teams to drive automation with GenAI.
  • Ensure data privacy, governance, and ethical AI practices.
Required Skills
  • 6-10+ years of experience in engineering, with 2+ years of hands-on experience in GenAI/LLMs/NLP.
  • Strong Python skills with experience in LangChain, Hugging Face, and LlamaIndex.
  • Deep knowledge of vector databases and embeddings.
  • Proven experience designing and deploying RAG architectures.
  • Experience integrating LLM APIs such as OpenAI, Azure OpenAI, Claude, etc.
Nice to Have
  • Experience with multi-modal models or fine-tuning LLMs.
  • Familiarity with developer-facing GenAI use cases: infra-as-code review, changelog generation, log triage.
  • Exposure to Kubernetes, GitOps, and DevSecOps.

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