
GenAI Architect
4 days ago
We are looking for an experienced GenAI Architect to design and integrate intelligent systems into our engineering & DevOps ecosystem.
This is a contractor role where you will create AI-powered assistants & agents to augment CI/CD workflows, knowledge retrieval, incident handling, and developer productivity using LLMs, Python, and NLP pipelines.
Main Responsibilities:
- Design and optimize prompts for LLM workflows ensuring accuracy and relevance.
- Create RAG pipelines using vector databases (FAISS, Pinecone, Weaviate, Qdrant).
- Integrate LLMs into internal tools, CI/CD, and observability dashboards.
- Implement GenAI solutions using LangChain, LlamaIndex, Haystack, Hugging Face, etc.
- Fine-tune open-source/commercial LLMs (OpenAI, Claude, Cohere, Mistral) for domain use cases.
- Collaborate with DevOps and platform teams to drive automation with GenAI.
- Ensure data privacy, governance, and ethical AI practices.
Key Qualifications:
- 6-10+ years in engineering, with 2+ years hands-on experience in GenAI/LLMs/NLP.
- Strong Python skills with experience in LangChain, Hugging Face, LlamaIndex.
- Deep knowledge of vector databases and embeddings.
- Proven experience designing and deploying RAG architectures.
- Experience integrating LLM APIs (OpenAI, Azure OpenAI, Claude, etc.).
What We Offer:
- A dynamic work environment with opportunities for growth and development.
- A chance to work on cutting-edge projects and technologies.
- A competitive salary package and benefits.
Work Details:
- Any Xebia Location: Chennai, Bangalore, Hyderabad, Pune, Gurugram, Bhopal, Jaipur.
- Hybrid model – 3 days/week from office.
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