Lead Engineer - AI Engineering

Overview

Lead Engineer - AI Engineering to design, implement, and optimize LLM-based AI agents and related AI/ML solutions for internal and external needs.

What you'll do

• Design, implement, and optimize AI Agents using LLMs, reinforcement learning, planning, and decision-making frameworks.
• Develop scalable multi-agent architectures for long-horizon reasoning, autonomy, planning, and complex task completion.
• Integrate AI agents with APIs, backend services, databases, and enterprise applications.
• Prototype, deploy, and maintain AI-driven systems and ensure reliability and performance in production.
• Optimize agent behavior via continuous feedback, reinforcement learning, and user interaction.
• Monitor performance, run evaluations, and implement safety guardrails and ethical AI practices.
• Document architectures, design decisions, workflows, and maintain technical documentation.

What you'll need

• 3+ years of relevant experience with a Master’s degree in Computer Science/AI-ML/Engineering/Math or related.
• Strong coding/software engineering in Python and/or JavaScript/TypeScript/Node.js/Java/Go.
• Experience with AI/ML libraries/frameworks including LangChain and OpenAI APIs, plus PyTorch and/or TensorFlow.
• Hands-on experience with LLMs, prompt engineering, and NLP.
• Knowledge of agent orchestration/multi-agent platforms such as AutogenAI and LangGraph (and mentions MCP protocol).
• Cloud deployment experience (AWS or Google Cloud) and container orchestration (Docker, Kubernetes).
• Awareness of AI ethics, data privacy, and secure handling of sensitive information.

Details

• Location: Bengaluru.
• Must be willing to work out of an office located in Bangalore.
• Relocation assistance provided: Yes.