13 Oct
|
Weekday AI
|
Bengaluru
13 Oct
Weekday AI
Bengaluru
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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.
Requirements
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-effective techniques where appropriate.
- Apply quantisation techniques, including 8-bit and 4-bit quantisation, to improve inference effici
📌 Senior AI Engineer (Bengaluru)
🏢 Weekday AI
📍 Bengaluru