Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

SAP

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 artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

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 Agentic AI/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:

Design and implement autonomous agents using LangChain / LangGraph/ Crew.ai / SK / Autogen and other relevant frameworksDevelop and optimize RAG systems for improved information retrieval and response generationCreate robust evaluation frameworks for testing agent performance and safetyImplement monitoring and logging systems for agent behaviorDevelop documentation and best practices for agent developmentContribute to the improvement of agent architecture and capabilitiesDevelop ML pipelines for data processing, model training, and deployment.Integrate AI solutions with cloud platforms (AWS, Azure, GCP) and production environments.Optimize prompt engineering, retrieval-augmented generation (RAG), and fine-tuning strategies.

Required Qualifications:

3+ years of experience in automation development, with a focus on Automation Anywhere.Building and deploying autonomous agentsLangChain/llamaindex or any other similar cloud framework for developing applicationsExperience in any agentic platform (ex. Langgraph, Autogen, Crew.AI, BabyAGI etc)Retrieval Augmented Generation (RAG) systemsProficiency in Python, TensorFlow, PyTorch, LangChain, LlamaIndex, and OpenAI APIs.Strong understanding of LLMs (GPT, LLaMA, Claude, Mistral, Gemini, etc.) and fine-tuning techniques.Experience in vector databases (FAISS, ChromaDB, Pinecone, Weaviate, etc.) for RAG-based applications.Hands-on experience with ML model training, evaluation, and deployment.Familiarity with Docker, Kubernetes, CI/CD, and MLOps best practices.Understanding of Transformer based model and deep elarningSolid understanding of safety principles and best practicesResolving Hallucinations in the outcomes

Mandatory skill sets:

Autonomous agents, LangChain/llamaindex, Langgraph, Autogen, Crew.AI, BabyAGI, (RAG) systems, Python, TensorFlow, PyTorch, LangChain, LlamaIndex, and OpenAI APIs, LLMs, FAISS, ChromaDB, Pinecone, Weaviate, Docker, Kubernetes, CI/CD, and MLOps, AWS, Azure, GCP

Preferred skill sets:

Resolving Hallucinations in the outcomes

Years of experience required:

2 to 4years

Education qualification:

Bachelor’s degree in computer science, Information Technology, or a related field.

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

Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Automation Engineering, Microsoft Azure

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date