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Experience: 2+ yrs
Location: Bengaluru
Job Type: Full time

We are looking for a technically strong Generative AI / Machine Learning Engineer to design, develop, and deploy intelligent applications powered by Large Language Models (LLMs), AI agents, and machine learning systems. The ideal candidate will have hands-on experience in Python, agentic AI, Retrieval-Augmented Generation (RAG), LLM frameworks, and production-ready AI engineering.
This role is suited for an engineer who enjoys solving complex problems, experimenting with emerging AI technologies, and transforming research concepts into scalable, reliable, and high-performing applications.

Key Responsibilities
1. Generative AI and Agent Development• Design and develop LLM-powered applications and autonomous or semi-autonomous AI agents.
• Build agentic workflows using LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Implement function calling, tool integration,



and multi-step reasoning workflows using approaches such as ReAct.
• Develop end-to-end AI systems that can plan, execute tasks, and interact with external tools and APIs.

2. Retrieval-Augmented Generation (RAG)• Design and implement scalable RAG pipelines for document-based knowledge retrieval and contextual response generation.
• Work with vector databases such as Pinecone, FAISS, and Milvus.
• Optimise document chunking, embedding generation, indexing, and retrieval strategies.
• Evaluate retrieval quality, improve response relevance, and implement techniques to minimise LLM hallucinations.

3. LLM Optimisation and Fine-Tuning• Experiment with prompt engineering, context management, and response-quality optimisation.
• Fine-tune models using LoRA, PEFT, and related parameter-efficient techniques where appropriate.
• Apply quantisation techniques, including 8-bit and 4-bit quantisation, to improve inference efficiency.
• Develop an und

📌 Senior AI Engineer (Bengaluru)
🏢 Weekday AI
📍 Bengaluru