Job Summary

As a Data Engineering Consultant specializing in RAG, LLMs, and AI Agent development, you will be responsible for designing and building intelligent, context-aware AI applications that leverage retrieval-augmented generation architectures and autonomous agent frameworks. Your typical day will involve developing RAG pipelines, fine-tuning and integrating LLMs, building multi-step AI agents using LangChain, and deploying these solutions in scalable production environments. You will work closely with data engineers, ML engineers, and product teams to deliver AI-powered products that create measurable business value.

Roles & Responsibilities:

- Design and implement end-to-end RAG pipelines, including document ingestion, chunking, embedding, vector storage, and retrieval.
- Integrate and orchestrate large language models (e.g., Gemini, GPT-4, Claude, Llama)



for enterprise use cases.
- Build multi-step, tool-using AI agents using frameworks such as LangChain, LlamaIndex, or custom agent loops.
- Develop and optimize prompt engineering strategies for accuracy, reliability, and latency.
- Select and configure vector databases (e.g., Pinecone, Weaviate, ChromaDB) for semantic search and retrieval.
- Implement evaluation frameworks to assess RAG and agent output quality (relevance, faithfulness, hallucination rate).
- Deploy LLM-based solutions as APIs or microservices, ensuring scalability and observability.
- Collaborate with clients to identify AI use cases and translate requirements into production-ready agent architectures.

📌 I&P - GN - SONG - AI & Data - Marketing - MMM RAG - Consultant (Bengaluru)
🏢 Accenture in India
📍 Bengaluru