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Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.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
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Generative AIOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining {+ 41 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
September 17, 2026From live job posts on CoreHRx, updated 2 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹10L – ₹24L a year (typical for IT Jobs in India, 910 posts).
The post asks for 4–8 Yrs experience.
It is a full time job.
You apply on PricewaterhouseCoopers' website. CoreHRx takes you there after you sign in.
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