Associate

About the Role

Join PwC Acceleration Center India to shape the future of business for a diverse client portfolio. You will work at the heart of global teams across Advisory, Assurance, Tax, and Business Services, solving real client challenges through connected collaboration. This role offers hands-on learning, cutting-edge tools, and an inclusive culture to do inspiring work that makes a difference. As an Associate, you will be at the forefront of developing innovative software solutions that drive digital transformation and enhance business performance.

Key Responsibilities

• Designing and 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.
• Hands-on experience building both traditional backend services and LLM-powered 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.
• Advancing 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 is highly desirable.
• Working with LLM evaluation frameworks such as Azure AI Evaluations, DeepEval, or similar tools is also a strong plus.

Requirements & Tech Stack

• 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 designing and optimizing multi-agent workflows using frameworks such as LangChain, LangGraph, or DeepAgents, including tool-calling and agent routing.
• Experience building production LLM applications, RAG solutions, and AI agents.
• 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.