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Advanced Prompt Engineer
3 weeks ago
We are seeking a highly skilled GenAI Engineer with deep expertise in Prompt Engineering and Retrieval-Augmented Generation (RAG) to integrate cutting-edge AI into our engineering 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 Large Language Models (LLMs), Python, and NLP pipelines.
Key Responsibilities:
- Design & optimize prompts for LLM workflows ensuring accuracy & relevance
- Build RAG pipelines using vector databases (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
Requirements:
- 6–10+ 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.)
Benefits:
- Hybrid work model – 3 days/week from office
- Xebia Locations: Chennai, Bangalore, Hyderabad, Pune, Gurugram, Bhopal, Jaipur
Application Instructions:
- Send your profile 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
- Notice Period / Last Working Day (if serving)
- Primary Skills
- LinkedIn Profile
