Senior Associate – GenAI and Agentic AI Engineer at PwC India
Listed by DevShelfHub
About the Role
PwC India is hiring a Senior Associate GenAI and Agentic AI Engineer within GCC Advisory to design and implement autonomous agents, RAG systems, and production-ready AI solutions across PAN India PwC locations.
This intelligent automation role focuses on LangChain, Crew.ai, Autogen, and LLM APIs with emphasis on agent safety, evaluation frameworks, and resolving hallucinations in AI outcomes.
What you'll do
- Design and implement autonomous agents using LangChain, Crew.ai, SK, Autogen, and other relevant frameworks.
- Developing and optimizing RAG systems for improved information retrieval and response generation
- Creating robust evaluation frameworks for testing agent performance and safety
- Implementing monitoring and logging systems for agent behavior
- Developing documentation and best practices for agent development
- Contributing to the improvement of agent architecture and capabilities
- Building and deploying autonomous agents in production environments
- Working with LangChain framework for application development
- Applying solid understanding of safety principles and best practices
- Resolving hallucinations in AI outcomes
What we're looking for
- 4 to 7 years of experience in GenAI and Agentic AI development
- Advanced Python programming with expertise in async programming and API development
- Hands-on experience building and deploying autonomous agents
- LangChain framework for developing applications
Skills & Technologies
Required
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- Build production agentic AI systems with modern frameworks while establishing evaluation, monitoring, and safety standards for enterprise GenAI deployments at PwC.
- Design and implement autonomous agents using LangChain, Crew.ai, Semantic Kernel, and Autogen
- 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 improvement of agent architecture and capabilities
- Hands-on experience building and deploying autonomous agents at scale
- Work with Large Language Models and their APIs in production contexts
- Apply safety principles and resolve hallucinations in AI outcomes
- Advanced Python with async programming and API development expertise
About PwC India
- Industry
- Technology
- Company Size
- 500+
- Website
- pwcindia.com
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 4–7 years
- Location
- Noida (PAN India PwC locations)
- Work Mode
- Hybrid
- Category
- AI / ML
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