AI Agent Developer

AI Agent Developer- Senior Associate

Responsibilities

• 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.

What You Must Have

• At least a Bachelor's & Master's Degree
• At least 4 years of experience
• Oral and written proficiency in English required

What Sets You Apart

Expert in developing and optimizing AI agents using Python, seamlessly integrating with cutting-edge APIs like OpenAI, Claude, and Azure AI Foundry to deliver advanced NLP solutions.

• Proven ability to design and implement Retrieval-Augmented Generation (RAG) workflows and apply sophisticated Prompt Engineering techniques that significantly enhance agent accuracy and contextual relevance.

• Skilled in building scalable, collaborative AI ecosystems using Multi-Agent Frameworks, LangGraph, LangChain, and AutoGen to orchestrate complex, multi-agent workflows efficiently.

• Experienced in developing and maintaining robust REST APIs that enable smooth integration of AI agents with diverse cloud platforms and third-party systems.

• Strong background in implementing comprehensive observability and monitoring frameworks to ensure high performance, reliability, and maintainability of AI systems in cloud environments.

• Proficient in managing data with SQL databases and leveraging tools like Agent Core and GitHub for version control, collaboration, and accelerating the development of AI Code Assistants.