Pune, Maharashtra
Job Summary

Mandatory/Required Skills Strong hands-on experience in Generative AI / LLM Engineering.Expertise in building Agentic AI systems using LangGraph, LangChain, CrewAI, or AutoGen.Experience with RAG / Graph-RAG architectures and vector databases (Pinecone, pgvector, OpenSearch, Neo4j, etc.).Strong Python backend development skills with FastAPI, async programming, APIs, and inference services.Hands-on experience with OpenAI, Anthropic, Gemini, Hugging Face, or similar LLM ecosystems.Experience in prompt engineering, fine-tuning, LoRA/PEFT, embeddings, semantic search, and agent memory frameworks.Strong cloud exposure in AWS/Azure/GCP with MLOps/LLMOps tools like MLflow.Experience working on production-scale AI/ML applications.Good understanding of Deep Learning frameworks such as PyTorch or TensorFlow.Strong communication and stakeholder management skills. Good to Have Skills Multimodal AI experience (text, image, audio, graph-based AI systems).Experience with Graph-RAG and Knowledge Graphs.Exposure to Responsible AI / AI Governance frameworks.Experience with Databricks, Bedrock, Vertex AI, Azure OpenAI.Traditional ML/statistical modeling knowledge.Experience leading teams or architecting enterprise AI platforms.

Key Responsibilities

Mandatory/Required Skills Strong hands-on experience in Generative AI / LLM Engineering.Expertise in building Agentic AI systems using LangGraph,



LangChain, CrewAI, or AutoGen.Experience with RAG / Graph-RAG architectures and vector databases (Pinecone, pgvector, OpenSearch, Neo4j, etc.).Strong Python backend development skills with FastAPI, async programming, APIs, and inference services.Hands-on experience with OpenAI, Anthropic, Gemini, Hugging Face, or similar LLM ecosystems.Experience in prompt engineering, fine-tuning, LoRA/PEFT, embeddings, semantic search, and agent memory frameworks.Solid cloud exposure in AWS/Azure/GCP with MLOps/LLMOps tools like MLflow.Experience working on production-scale AI/ML applications.Good understanding of Deep Learning frameworks such as PyTorch or TensorFlow.Strong communication and stakeholder management skills. Good to Have Skills Multimodal AI experience (text, image, audio, graph-based AI systems).Experience with Graph-RAG and Knowledge Graphs.Exposure to Responsible AI / AI Governance frameworks.Experience with Databricks, Bedrock, Vertex AI, Azure OpenAI.Traditional ML/statistical modeling knowledge.Experience leading teams or architecting enterprise AI platforms.

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📌 Senior Technical Lead (India)
🏢 HCLTech
📍 India