AI Agent Developer-Manager

Overview

As an AI Agent Developer-Manager, you will design and develop data solutions for clients, transform raw data into actionable insights, and lead teams through planning, execution, and delivery. You will collaborate across AI-driven automation and cognitive solutions, apply data science methods, and support client service delivery and internal quality expectations.

What you'll do

• Develop and optimize AI agents using Python, integrating with OpenAI API, Claude, and Azure AI Foundry for advanced natural language processing capabilities.
• Design and implement Retrieval-Augmented Generation (RAG) workflows and Prompt Engineering techniques to improve agent accuracy and contextual understanding.
• Build scalable multi-agent systems using Multi-Agent Frameworks, LangGraph, LangChain, and AutoGen for orchestrating complex AI workflows and interactions.
• Develop and maintain REST APIs to expose agent functionalities, ensuring seamless integration with cloud platforms and external systems.
• Implement observability and monitoring solutions to track agent performance, system health, and facilitate debugging across cloud environments.
• Manage data storage and querying with SQL databases, harnessing Agent Core and Github for version control and collaboration in building AI Code Assistants.
• Lead teams, coach and develop talent, manage performance, and guide workstreams through planning, execution, and delivery.

What you'll need

• At least a Bachelor's & Master's Degree.
• At least 8 years of experience.
• Oral and written proficiency in English.

Nice to have

• Expertise in developing and optimizing AI agents using Python, integrating with OpenAI, Claude, and Azure AI Foundry APIs to deliver advanced NLP solutions.
• Proven ability to design and implement Retrieval-Augmented Generation (RAG) workflows and apply Prompt Engineering techniques to enhance agent accuracy and contextual relevance.
• Skill in building scalable, collaborative AI ecosystems using Multi-Agent Frameworks, LangGraph, LangChain, and AutoGen to orchestrate complex, multi-agent workflows.
• Experience developing and maintaining REST APIs that integrate AI agents with cloud platforms and third-party systems.
• Background implementing observability and monitoring frameworks for the performance, reliability, and maintainability of AI systems in cloud environments.
• Proficiency managing data with SQL databases and using Agent Core and GitHub for version control, collaboration, and developing AI Code Assistants.

Details

• Location: Bangalore.
• Travel requirements: Not specified.