Specialist – GenAI and Agentic AI Engineer, Advisory

Overview

Design, build and optimise autonomous AI agents and retrieval-augmented generation (RAG) systems for clients, as part of PwC's intelligent automation and data and analytics engineering work.

What you'll do

• Design and implement autonomous agents using LangChain, Crew.ai, SK, Autogen and other relevant frameworks
• Develop and optimize RAG systems for improved information retrieval and response generation
• Create robust evaluation frameworks for testing agent performance and safety
• Implement monitoring and logging systems for agent behavior
• Develop documentation and best practices for agent development
• Contribute to the improvement of agent architecture and capabilities

What you'll need

• Hands-on experience building and deploying autonomous agents
• Hands-on experience with the LangChain framework for developing applications
• Hands-on experience with Retrieval Augmented Generation (RAG) systems
• Hands-on experience with Large Language Models (LLMs) and their APIs
• Solid understanding of safety principles and best practices
• Experience resolving hallucinations in outcomes
• Advanced Python programming with expertise in async programming and API development
• Experience with vector databases and embedding models
• Proficiency in implementing RAG pipelines and knowledge retrieval systems
• Familiarity with prompt engineering and LLM optimization techniques
• Experience with development frameworks and tools
• Knowledge of modern software development practices (Git, CI/CD, testing)
• Years of experience required: 2 to 3+ years
• Education: Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related field
• Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology
• Required skill: Chatbots

Nice to have

• Experience with multiple LLM providers (OpenAI, Anthropic, etc.)
• Experience with tools for agent orchestration and workflow management
• Natural Language Processing (NLP) techniques
• Container technologies (Docker, Kubernetes)
• Understanding of semantic search and information retrieval concepts
• Knowledge of agent alignment and safety considerations

Details

• Location: Bengaluru Millenia
• Employment level: Specialist
• Industry/sector: FS X-Sector; Line of Service: Advisory; Specialism: Operations
• Visa sponsorship: No
• Government clearance required: No
• Travel requirements: Not specified
• Job posting end date: July 6, 2026