Senior GCP AI Engineer

PwC India; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

PwC India is seeking a Senior AI Engineer to build and scale AI-powered applications using Python and Google Cloud Platform. The role focuses on backend systems, APIs, and GenAI solutions with production readiness and real-world impact.

You will design scalable services, deploy GenAI apps, and architect end-to-end GCP solutions, while mentoring juniors and collaborating with cross-functional teams in a fast-paced advisory environment.

Qualifications

• Hands-on experience with FastAPI and Django.
• Experience building RESTful APIs and scalable microservices.
• Strong experience with Google Cloud Platform (Vertex AI, Cloud Run, BigQuery, Cloud Storage, Dataflow, PostgreSQL).

Responsibilities

• Design and develop scalable backend services and APIs using Python (Fast API / Django).
• Build and deploy GenAI applications including RAG pipelines, AI agents, and LLM integrations.
• Architect end-to-end solutions on GCP, covering data ingestion, processing, model integration, and deployment.
• Deploy and manage services using Cloud Run, Vertex AI, and other GCP components.
• Implement engineering best practices including CI/CD, logging, monitoring, and performance optimization.
• Collaborate with cross-functional teams and manage work through Jira.
• Use GitHub for version control, code reviews, and maintain clean, production-grade code.
• Mentor junior engineers and contribute to technical design and standards.

Skills

Python

FastAPI

Django

REST APIs

Microservices

Vertex AI

Cloud Run

AI Agents

LangChain

MCP

GCP

LLMs

CI/CD

Jira

GitHub

Vector DB

MLOps

Tools

GitHub

Jira

Vertex AI

Cloud Run

BigQuery

PostgreSQL

Dataflow

Pinecone

FAISS

Job description

Job Description & Summary

We are looking for a Senior AI Engineer to build and scale AI-powered applications using Python and Google Cloud Platform. This role focuses on developing backend systems, APIs, and GenAI solutions such as RAG pipelines and AI agents, with a strong emphasis on production readiness and real-world impact.

Job Position Title

IN_Senior Manager_GCP AI_One Cloud_Advisory_PAN India

Key Responsibilities

• Design and develop scalable backend services and APIs using Python (Fast API / Django).


• Build and deploy GenAI applications including RAG pipelines, AI agents, and LLM integrations.


• Architect end-to-end solutions on GCP, covering data ingestion, processing, model integration, and deployment.


• Deploy and manage services using Cloud Run, Vertex AI, and other GCP components.


• Implement engineering best practices including CI/CD, logging, monitoring, and performance optimization.


• Collaborate with cross-functional teams and manage work through Jira.


• Use GitHub for version control, code reviews, and maintain clean, production-grade code.


• Mentor junior engineers and contribute to technical design and standards.

Required Skills & Qualification

• Hands-on experience with backend frameworks such as Fast API and Django.


• Experience building RESTful APIs and scalable microservices.


• Strong experience with Google Cloud Platform (Vertex AI, Cloud Run, BigQuery, Cloud Storage, Dataflow, PostgreSQL).


• Experience with AI agents, Google ADK, and Model Context Protocol (MCP).


• Exposure GenAI orchestration frameworks (LangChain or similar).


• Experience working with unstructured data (PDFs, documents, engineering data).


• Knowledge of cloud cost optimization and system performance tuning.


• Experience working with LLMs and GenAI use cases (prompting, integrations, APIs).


• Hands-on experience with RAG pipelines and vector databases.


• Experience with GitHub (branching, pull requests, code reviews).


• Familiarity with Agile workflows and tools like Jira.

Good to Have

• Understanding of machine learning concepts and frameworks (TensorFlow, PyTorch, Scikit-learn).


• Experience with MLOps practices and model lifecycle management.


• Languages & Frameworks: Python, FastAPI, Django.


• GenAI: LLMs, Prompt Engineering, RAG, AI Agents.


• Vector Databases: Vertex AI Matching Engine, Pinecone, FAISS.


• Tools & Platforms: GitHub, Jira.

Mandatory skill sets

GCP AI

Preferred skill sets

GCP AI

Years of experience required

12-20 Years