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 EndpointsDelta TablesMLflow or equivalentStrong 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.