HYDERABAD · FULLTIME
AI Agent Developer - Manager

Price Waterhouse Coopers
Hyderabad · hybrid · Posted 9d ago
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Section · 01
About this role
Role & responsibilities
- 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.
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Section · 02
Skills
Section · Company
About PwC

Price Waterhouse Coopers
Management Consulting
30k+
employees
1880
146 years old
Bangalore / Bengaluru, Karnataka
India
₹18.4L PA avg
Avg at PwC
₹30L – ₹45L PA
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2.3
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