IN_Specialist 3_GenAI and Agentic AI Engineer _GCC_Advisory_Noida

PwC

Dadri

On-site

INR 1,500,000 - 2,500,000

Full time

4 days ago

Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

PwC is hiring for an intelligent automation / data engineering role focusing on designing autonomous agents and RAG-based information retrieval systems. You will build scalable AI automation using LangChain, Crew.ai, SK, and Autogen, with emphasis on safe and effective agent behavior.

Strong Python, vector databases, and API development are required. The role involves collaborating across teams, creating evaluation frameworks, and documenting best practices to advance PwC's intelligent

Qualifications

2 to 3+ years of experience in AI/automation engineering
Bachelor's degree in Computer Science, Computer Engineering, Information Systems or related field
MBA and/or B.Tech qualifications are considered assets
Experience with autonomous agents and RAG pipelines is desirable
Strong Python skills with async programming and API development experience
Familiarity with vector databases and embedding models
Knowledge of prompt engineering and LLM optimization techniques
Understanding of modern software development practices (Git, CI/CD, testing)

Responsibilities

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

Skills

Python programming

Async programming

API development

Vector databases

Embedding models

RAG pipelines

Prompt engineering

LLM optimization

Development frameworks

Git/CI/CD/testing

Education

Bachelors in CS/CE/IS

MBA

B.Tech

Tools

LangChain

Crew.ai

Autogen

LLM APIs

Job description

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm's growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Responsibilities

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

Hands-on experience with

Building and deploying autonomous agents
LangChain framework for developing applications
Retrieval Augmented Generation (RAG) systems
Large Language Models (LLMs) and their APIs
Solid understanding of safety principles and best practices
Resolving hallucinations in the outcomes

Mandatory Skill sets

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)

Preferred Skill sets