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Full Stack Python - Associate

PwC
Bengaluru, IND
Full-time
Mid
Onsite
Discovered 4 days ago

Full Job Posting

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.
  • 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 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.

Qualifications

  • 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.
  • Familiarity with LLM observability and evaluation tools such as Langfuse, Azure AI Evaluations, DeepEval, or RAG evaluation techniques.

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