Backend & AI Engineering (Python/LLM Agents/RAG) - Associate

Industry/Sector

Specialism

Management Level

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Backend & AI Engineering (Python/LLM Agents/RAG) - Associate, you will engage in developing innovative software solutions that drive digital transformation and enhance business performance. Within our Advisory - Other practice, you will focus on designing, coding, and testing applications that revolutionize industries and deliver exceptional user experiences. As an Associate, you will contribute to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.

In this role at PwC Acceleration Center India, you will be part of a team that combines technical experience with creative thinking to deliver innovative software products and solutions. You will be expected to adapt to working with a variety of clients and team members, each presenting unique challenges and scope. Every experience is an opportunity to learn and grow, taking ownership and consistently delivering work that drives value for our clients and success as a team. This position offers a chance to build a brand for yourself, opening doors to more opportunities within the firm.

Responsibilities

- Developing innovative software solutions to drive digital transformation and enhance business performance
- Designing, building the core intelligence and services layer of AI-powered enterprise applications
- Developing scalable, asynchronous backend services (e.g., FastAPI) while building and owning multi-agent LLM pipelines that power capabilities such as document analysis, content generation, and Retrieval-Augmented Generation (RAG)-based Q&A within clean, modular Python codebases.
- Applying technical skills in Python to create efficient backend systems and AI-driven applications
- Working closely with frontend, AI, and quality engineering teams across one or more product pods to design, implement, and scale agentic workflows, RAG pipelines, and the supporting data and job-processing infrastructure. You will also help advance an agent-driven, specification-led development lifecycle with appropriate human approval gates.

-Working with agentic AI frameworks (e.g., LangChain, LangGraph, DeepAgents), vector databases, prompt engineering, and AI-assisted development tools such as Cursor and GitHub Copilot.

-Working with LLM evaluation frameworks such as Azure AI Evaluations, DeepEval.

What You Must Have

• Strong experience in backend software engineering with deep Python expertise, including async/await and asyncio.
• Hands-on experience building production services using FastAPI or similar modern asynchronous frameworks.
• Proficiency with SQL and SQLAlchemy 2.0, including relational data modeling.
• Experience designing modular, layered architectures (domain, application, infrastructure) using Clean Architecture and dependency injection principles.
• Hands-on experience building LLM-powered applications and RAG pipelines, including ingestion, chunking, embeddings, and vector search.
• Experience working with CI/CD pipelines and containerized environments (Docker).
• Strong analytical, debugging, and problem-solving skills.

What Sets You Apart

• Experience building production LLM applications, RAG solutions, and AI agents.
• Experience designing and optimizing multi-agent workflows using frameworks such as LangChain, LangGraph, or DeepAgents, including tool-calling and agent routing.
• Experience with vector databases (e.g., ChromaDB) and optimizing retrieval quality, latency, and cost.
• Familiarity with Azure services such as Azure Service Bus, Blob Storage, and message-driven/background processing.
• Exposure to Cursor, GitHub Copilot, GitHub Remote Agents, or similar AI-assisted development tools.
• Familiarity with LLM observability and evaluation tools such as Langfuse, Azure AI Evaluations, DeepEval, or RAG evaluation techniques.
• Interest in Specification-Driven Development (SDD), autonomous software delivery, and human-in-the-loop governance.
• Experience working in finance, tax, legal, or other regulated, document-intensive domains.

Travel Requirements

Job Posting End Date