IN_Senior Associate_ GenAI and Agentic AI Engineer _GCC_ Advisory_ Bangalore
At a glance
Mid-level AI Engineering role at Pwc (Nonpublic Postings). Bengaluru Millenia · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build autonomous agents with frameworks such as LangChain, Crew.ai, SK or Autogen
- Develop RAG systems that improve information retrieval and the responses generated from it
- Set up ways to evaluate agent performance and safety, then monitor and log agent behavior
- Document agent development practices and help strengthen agent architecture and capabilities
- Address hallucinations in model outputs and deploy agents and LLM-based applications
What you bring
- You have one to three years of experience and a full-time BE, BTech, MCA, MTech or MBA
- You bring advanced Python skills, including asynchronous programming and API development
- You have worked with vector databases, embedding models and RAG pipelines for knowledge retrieval
- You understand prompt engineering, LLM optimization, and software practices such as Git, CI/CD and testing
Who this fits
This mid-level engineering role suits someone who has hands-on experience building and deploying autonomous agents and working with LLMs. The position is based in Bengaluru, India, and visa sponsorship is unavailable.
From the employer
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
OperationsManagement Level
Senior AssociateJob 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:
Multiple LLM providers (OpenAI, Anthropic, etc.)
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
Years of experience required:
1+yrs to 3+yrs
Education qualification-Full Time:
BE/Btech/MCA/Mtech/MBA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration, Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Pega BPMOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, AI Fluency, AI-Human Collaboration, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery {+ 39 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
July 6, 2026