AI Engineer

4 days ago

Bangalore, India Lara Tech Consulting Full time

AI Engineer Experience: 3-5 years Location: Bangalore Availability: This is an urgent requirement – Immediate joiners only About the Role: We are looking for a hands-on AI Engineer with strong exposure to Agentic AI frameworks, LLM pipelines, and Model Context Protocol (MCP) . The ideal candidate should be able to work across the full lifecycle: Data preparation, model development, deployment, and optimisation, with deep experience in Python/ML frameworks and cloud-native delivery (AWS + Databricks) . Key Responsibilities Build, optimise, and deploy Agentic AI solutions leveraging MCP and modern orchestration frameworks. Develop and maintain RAG pipelines , model-serving endpoints, and production-grade LLM workflows. Work with Databricks for feature engineering, data processing, delta tables, and model training. Implement and fine-tune deep learning models using CNNs, RNNs, Transformers , etc. Deploy AI models using AWS services such as EC2, S3, Lambda, Bedrock , and related components. Collaborate with cross-functional teams (Data Engineers, Architects, Product teams) to deliver scalable AI capabilities. Conduct performance tuning, evaluation, and monitoring of AI/ML models in production. Must-Have Qualifications Strong hands-on experience with Agentic frameworks (LangChain, LangGraph, or similar). Practical experience with Model Context Protocol (MCP) for tool integration and agent orchestration. Expertise in Python and core AI/ML libraries: PyTorch, TensorFlow, Transformers, LangChain ecosystem. Solid understanding of Deep Learning fundamentals (CNNs, RNNs, Attention mechanisms, Transformers). Experience with Databricks , including: Model Serving Endpoints Delta Tables MLflow or equivalent Strong knowledge of RAG architecture , vector databases, embeddings, and LLM lifecycle concepts. Working experience with cloud deployments (AWS preferred). Good-to-Have Skills Experience with Bedrock model customisation. Familiarity with CI/CD for ML (MLOps). Prior experience in client-facing or consulting environments.

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