IN_Associate_ Angular Developer_Agentic Automation _Advisory_Pune

Line of Service

Advisory

Industry/Sector

FS X-Sector

Specialism

Operations

Management Level

Associate

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. "

Job Description & Summary: We are seeking an experienced APA Developer specializing in autonomous agents and Large Language Models (LLMs) to join our team. The ideal candidate will help design, develop, and optimize agents that can perform complex tasks autonomously while maintaining reliability and safety.

Responsibilities:

· 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

Mandatory skill sets:

- LangChain framework for developing applications

Preferred skill sets:

- Retrieval Augmented Generation (RAG) systems

Years of experience required:

- Large Language Models (LLMs) and their APIs

Education qualification:

- Solid understanding of safety principles and best practices

- Resolving Hallucinations in the outcomes

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, MBA (Master of Business Administration)

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Microsoft Power Platform

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, 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, Configuration Management (CM), Continuous Process Improvement, Data Analytics {+ 31 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date