Senior Engineer (GenAI & Prompt Engineering) | Xebia
We are looking for a highly experienced GenAI Engineer with deep expertise in Prompt Engineering, Retrieval-Augmented Generation (RAG), and Vector Search Systems to integrate GenAI into our engineering & DevOps ecosystem.
This is a contractor role where you will design intelligent assistants & agents to augment CI/CD workflows, knowledge retrieval, incident handling, and developer productivity using LLMs, Python, and NLP pipelines.
Key Responsibilities
- Design & optimize prompts for LLM workflows ensuring accuracy & relevance
- Build RAG pipelines using vector DBs (FAISS, Pinecone, Weaviate, Qdrant)
- Integrate LLMs into internal tools, CI/CD & 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 & platform teams to drive automation with GenAI
- Ensure data privacy, governance & ethical AI practices
Required Skills
- 610+ years in engineering, with 2+ years hands-on in GenAI/LLMs/NLP
- Strong Python skills with experience in LangChain, Hugging Face, LlamaIndex
- Deep knowledge of vector databases & embeddings
- Proven experience designing & deploying RAG architectures
- Experience integrating LLM APIs (OpenAI, Azure OpenAI, Claude, etc.)
Nice to Have
- Experience with multi-modal models / fine-tuning LLMs
- Familiarity with developer-facing GenAI use cases: infra-as-code review, changelog generation, log triage
- Exposure to Kubernetes, GitOps, DevSecOps
Work Location & Mode
- Any Xebia Location: Chennai, Bangalore, Hyderabad, Pune, Gurugram, Bhopal, Jaipur
- Hybrid model 3 days/week from office
Important
- Only Immediate Joiners or max 2 weeks notice period will be considered
How to Apply
Send your profile to [Confidential Information] with the subject line: Application Senior Engineer (GenAI & Prompt Engineering)
Please share the following details along with your CV:
- Full Name
- Total Experience
- Current CTC
- Expected CTC
- Current Location
- Preferred Xebia Location (from above)
- Notice Period / Last Working Day (if serving)
- Primary Skills
- LinkedIn Profile
