AI Engineer

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

Good-to-Have Skills