IN_Senior Associate_Python_GCC_Advisory_Noida

PwC; Dadri; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

PwC in India is seeking a Senior Associate Python AI Engineer to design and build scalable backend services and agentic AI features. You will develop REST APIs with FastAPI, implement LLM workflows using LangChain, and optimize PostgreSQL data models for AI-driven applications.

The role requires 4–8 years of production software experience, strong Python, REST API design, and React/TypeScript familiarity. Collaboration across teams and secure coding practices are essential to deliver reliable

Qualifications

• 4–8 years of production software experience with Python.
• Strong REST API design and FastAPI expertise.
• Experience with LangChain and LLM-based workflows.

Responsibilities

• Design, develop, and maintain scalable Python backend services and REST APIs.
• Architect and implement LLM-based agent systems with LangChain and MCP.
• Build robust data models and optimize SQL queries in PostgreSQL.
• Integrate frontend React components with backend services.
• Implement security, caching, logging, and fault-tolerant design.
• Deploy and monitor production services on Linux environments.
• Collaborate across teams to translate requirements into technical solutions.
• Maintain code quality with Git, code reviews, and testing strategies.

Skills

Python

Generative AI

FastAPI

Education

B.Tech

Bachelor of Engineering

Master of Engineering

Tools

LangChain

PostgreSQL

React

Git

Linux CLI

Job description

Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate

Job 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.

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.

Why PWC

At PwC , you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .

At PwC , we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm's growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

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

Degrees/Field of Study required

Bachelor of Engineering, Master of Engineering

Required Skills

• Generative AI

Optional 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