IN_Senior Associate_Data & Insights_GCC_Advisory_Bangalore
Quick Summary
• Design, develop,
• Python Preferred skill sets: • Python Years of experience required: 4-8 years Education qualification: B.Tech Education (if blank,
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Job Description & Summary: Python AI Engineer Experience: 4-8 years | Type: Full-time Role: Design and build Python backend services and agentic AI systems. Responsibilities Build and maintain Python REST APIs, powering agentic AI features Design LLM agents and agent workflows with LangChain + MCP Apply solid app development practices (auth, caching, error handling, logging) Model and query data in PostgreSQL Deploy and debug services on Linux Must-have 4-8 years in production software, strong Python FastAPI and solid REST API design LLM framework experience (LangChain) PostgreSQL and strong SQL React + JavaScript/TypeScript Git, Linux CLI, basic network debugging Nice-to-have RAG fundamentals + vector DBs (pgvector, Qdrant, Pinecone) MCP and tool-calling agent design Async Python, streaming (SSE/websockets) Docker, CI/CD, cloud (Azure/AWS/GCP)
Responsibilities: • Design, develop, and maintain scalable Python backend services and REST APIs using FastAPI to power advanced agentic AI features and workflows • Architect and implement LLM-based agent systems utilizing LangChain framework and Model Context Protocol (MCP) to create intelligent, context-aware applications • Build robust data models and optimize complex SQL queries in PostgreSQL databases, ensuring efficient data storage and retrieval for AI-driven applications • Integrate frontend React components with backend services using JavaScript/TypeScript, creating seamless user experiences for AI-powered features • Implement comprehensive application security, authentication, caching strategies, error handling, and logging mechanisms following industry best practices • Deploy, monitor, and troubleshoot production services on Linux environments, ensuring high availability and optimal performance of AI systems • Collaborate with cross-functional teams to translate business requirements into technical solutions, focusing on agentic AI capabilities and intelligent automation • Maintain code quality through version control with Git, conduct code reviews, and implement testing strategies to ensure reliable software delivery
Mandatory skill sets: • Python
Preferred skill sets: • Python
Years of experience required: 4-8 years
Education qualification: B.Tech
Nice to Have
~1 min readRequirements
~1 min readLocation & Eligibility
About this job
- Posted
- 6 days ago
Listing Details
- Posted
- October 10, 2026
- First seen
- October 11, 2026
- Last seen
- October 13, 2026
Posting Health
- Days active
- 4
- Repost count
- 0
- Trust Level
- 28%
- Scored at
- October 15, 2026
Signal breakdown
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