Artificial Intelligence Developer

PwC; Kolkata District, Gurugram District, Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

PwC seeks a skilled AI/ML engineer to design and deploy modular AI solutions using LLMs, RAG pipelines, and microservices. You will build scalable accelerators for enterprise use cases and develop APIs and AI agents for summarization, Q&A, and chatbot use cases.

The role requires strong Python proficiency, experience with LangChain, embeddings, and knowledge graphs, plus familiarity with Azure cloud and enterprise integrations.

Qualifications

• Proven experience building AI-powered systems in enterprise environments.
• Strong Python and API design skills with microservices experience.
• Hands-on with RAG, embeddings, and knowledge graphs.

Responsibilities

• Design, develop, and deploy modular AI solutions using LLMs, RAG pipelines, and microservices.
• Build scalable AI accelerators for enterprise use cases.
• Develop APIs and AI agents for summarization, Q&A, and chatbot use cases.

Skills

Python

AI frameworks

LangChain

Transformers

OpenAI SDK

LLaMA APIs

RAG pipelines

embeddings

prompt design

Knowledge Graphs

Apache Jena

SPARQL

Vector Databases

Pinecone

Chroma

embedding models

reranking

FastAPI

Flask

multi-agent frameworks

LangGraph

CrewAI

AutoGen

MCP

Azure

AKS

App Service

ACI

DevOps

Outlook integration

Teams integration

Salesforce integration

Tools

FastAPI

Flask

Job description

Role & responsibilities

• Strong Python skills with experience in AI frameworks (LangChain, Transformers, OpenAI SDK, LLaMA APIs)
• Hands-on experience with RAG pipelines, embeddings, and prompt design
• Familiarity with Knowledge Graphs (Apache Jena, SPARQL)
• Experience with Vector Databases (Pinecone, Chroma, etc.)
• Knowledge of embedding models (OpenAI Ada, Cohere, BGE/E5) and reranking techniques
• Experience building microservices (FastAPI, Flask)
• Exposure to multi-agent frameworks (LangGraph, CrewAI, AutoGen)
• Understanding of Model Context Protocol (MCP)
• Cloud experience with Azure (AKS, App Service, ACI) and DevOps tools
• Integration experience with enterprise platforms (Outlook, Teams, Salesforce)

• Design, develop, and deploy modular AI solutions using LLMs, RAG pipelines, and microservices
• Build scalable, reusable AI-in-a-Box” accelerators for enterprise use cases
• Develop APIs and AI agents for use cases such as summarization, Q&A, and chatbot

Preferred candidate profile