Key Responsibilities

• Design and develop enterprise RAG applications using LLMs, embeddings, vector databases, and hybrid search.

• Build end-to-end document ingestion and knowledge ingestion pipelines for structured and unstructured data.

• Implement document parsing, chunking, metadata enrichment, embeddings, indexing, and retrieval strategies.

• Design and optimize semantic, vector, keyword, and hybrid search solutions.

• Develop RAG workflows incorporating query understanding, query rewriting, retrieval, reranking, context generation, and response generation.

• Work with LLMs such as Azure OpenAI, Anthropic Claude, or equivalent models.

• Develop agentic AI solutions using tools, function calling, MCP, and multi-agent/single-agent architectures where appropriate.

• Implement RAG evaluation and observability including retrieval quality, answer relevance, groundedness, hallucination detection, latency, and token/cost monitoring.

• Optimize RAG applications for accuracy, latency, scalability, and cost.

• Integrate RAG applications with enterprise systems, APIs, databases,



repositories, and knowledge sources.

• Develop secure APIs and backend services for AI applications.

• Collaborate with architects, developers, business analysts, and domain experts to translate business requirements into AI solutions.

• Establish best practices around prompt engineering, context management, guardrails, security, and responsible AI.

• Troubleshoot production issues and continuously improve the AI application based on user feedback and evaluation metrics.

Required Technical Skills

Generative AI / LLM

• Solid understanding of LLMs and Generative AI

• Prompt engineering and structured prompting

• LLM inference and model selection

• Function calling / tool calling

• Context-window management

• Understanding of hallucination and grounding challenges

RAG

• Solid hands-on experience building RAG applications

• Document ingestion and preprocessing

• Chunking s

📌 De&a Aiml Data Science Artificial Intelligence Of Things Aiot Pune (India)
🏢 Zensar
📍 India