AI Agent Developer - Manager

PwC; Hyderabad, Gurugram District, Bengaluru; Hybride; INR 800 000 - 1 600 000; Plein temps

Résumé du poste

PwC is seeking a senior AI/ML software engineer to develop and optimize AI agents using Python and leading APIs such as OpenAI, Claude, and Azure AI Foundry. You will design RAG workflows, build multi-agent systems with LangGraph and LangChain, and maintain REST APIs for cloud integrations.

Ideal candidates have 8+ years of experience, strong English communication, and a track record in deploying scalable AI solutions with observability and robust data management using SQL databases and GitHub.

Qualifications

• Bachelor's and Master's degrees required.
• 8+ years of relevant experience in AI, NLP, and software engineering.
• Proficiency in English (oral and written) required.

Responsabilités

• Develop and optimize AI agents using Python and OpenAI API, Claude, and Azure AI Foundry.
• Design and implement Retrieval-Augmented Generation (RAG) workflows and advanced prompt techniques.
• Build scalable multi-agent systems with LangGraph, LangChain, and AutoGen.
• Develop and maintain REST APIs to expose agent functionalities.
• Implement observability and monitoring across cloud environments for performance and reliability.
• Manage data storage and querying with SQL databases; use GitHub for version control.

Connaissances

Python

AI agents

NLP

RAG

LangChain

LangGraph

AutoGen

REST APIs

Observability

SQL databases

GitHub

Formation

Bachelor's & Master's Degree

Outils

OpenAI API

Claude

Azure AI Foundry

LangGraph

LangChain

AutoGen

REST APIs

SQL databases

Description du poste

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 8 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.