Posted on: 14/05/2026
Key Responsibilities :
- Develop and maintain LLM-powered applications using Microsoft Agent Framework, AutoGen, LangChain, LangGraph, and LlamaIndex
- Design and optimize Retrieval-Augmented Generation (RAG) pipelines including chunking strategies, embeddings, and vector database management
- Build autonomous AI agents with multi-step planning and human-in-the-loop workflows
- Perform model fine-tuning and optimization using Quantization, PEFT, and LoRA techniques
- Deploy AI models in production using Docker and Kubernetes ensuring scalability and low latency
- Monitor AI systems for hallucinations, latency, accuracy, and cost optimization with strong observability practices
- Maintain ML CI/CD pipelines with automated testing and model-quality validation
- Collaborate with Architects and Engagement Managers to convert business requirements into scalable AI solutions
Required Skills :
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