Gen AI / RAG / LLM / Agentic AI Engineer
Position: Gen AI Engineer / AI Solutions Engineer
Experience: 5–8 Years
Location: Bangalore, Pune, Chennai, gurgaon, Kolkata
Job Summary:
Looking for an experienced Generative AI Engineer to design, develop, and deploy AI-driven solutions leveraging LLMs, Retrieval Augmented Generation (RAG), Agentic AI, forecasting models, and pricing analytics. The ideal candidate will work on building intelligent AI applications that solve complex business problems across areas such as demand forecasting, revenue growth management (RGM), price optimization, and decision intelligence.
Key Responsibilities:
Design and develop Generative AI applications using Large Language Models (LLMs) and AI frameworks.
Build and optimize RAG (Retrieval Augmented Generation) pipelines using enterprise data sources.
Develop AI agents and multi-agent workflows using Agentic AI frameworks.
Implement prompt engineering strategies, fine-tuning approaches, and LLM evaluation techniques.
Integrate LLM solutions with enterprise applications, APIs, databases, and cloud platforms.




Develop intelligent assistants, copilots, and automation solutions using Gen AI technologies.
Work on forecasting models for demand prediction, sales forecasting, and business planning.
Develop models related to price elasticity, pricing optimization, and revenue growth management (RGM).
Collaborate with data scientists, business teams, and product stakeholders to deliver AI solutions.
Perform model validation, monitoring, performance tuning, and continuous improvement.
Required Technical Skills:
Generative AI / LLM
Hands-on experience with:
LLMs (GPT, Claude, Gemini, Llama, Mistral, etc.)
Prompt Engineering
LLM APIs
Fine-tuning / RAG optimization
AI application development
RAG & Vector Databases
Experience building RAG architecture:
Document ingestion
Chunking strategies
Embeddings
Semantic search
Retrieval optimization
Experience with vector databases:
FAISS
Pinecone
Chroma DB
Weaviate
A

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