IN_Senior Associate_GenAI Developers_Alliances_IFS_Gurgaon/Bangalore

PwC India; Gurugram District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

PwC India in Gurgaon/Bangalore is seeking an Associate/Senior Associate to design and build GenAI solutions across priority sectors. You will work full-stack, from front-end to APIs, integrating advanced GenAI patterns and cloud AI services.

You will also create proofs of concept, demos, and reusable components for client workshops and internal training. You should have 3–8 years in software development with 3+ years in GenAI, strong React/Next.js and Python FastAPI or Node experience, and

Qualifications

• 3–8 years in software development with 3+ years in GenAI development.
• Strong full-stack skills: React/Next.js, TypeScript and Python FastAPI or Node; REST/GraphQL.
• Hands-on GenAI apps: RAG, embeddings, prompt engineering, function/tool calling, agent frameworks.
• Cloud platform experience (Azure/AWS/GCP) and AI services.
• Familiar with Git, Docker, and standard dev workflows.

Responsibilities

• Design and build GenAI solutions aligned with priority sectors and competencies.
• Develop full-stack applications front-end and back-end; deployable software.
• Implement core GenAI patterns: RAG pipelines, prompts, tool calling, streaming.
• Build retrieval layers, vector databases, and knowledge graphs.
• Integrate model providers and cloud AI services and open-weight models.
• Create agent workflows using LangChain, LlamaIndex, LangGraph or CrewAI.
• Utilize AI-assisted coding tools and provide demos & reusable components.
• Support client workshops and internal upskilling with demos and sample apps.

Skills

GenAI development

Full-stack development

Prototyping/POCs

Client workshops

AI-assisted tooling

Education

B.Tech in Computer Science / IT

MBA from Tier-1 or Tier-2 institute

Tools

React

Next.js

TypeScript

Python (FastAPI)

Node

Docker

Git

REST

GraphQL

LangChain

LlamaIndex

LangGraph

CrewAI

Azure OpenAI

AWS Bedrock

Google Vertex AI

Pinecone

Qdrant

Tableau/BI tools

Job description

Job Description & Summary:As an Associate or Senior Associate in the GenAI Experience Lab, you will design and build generative AI solutions aligned with our priority sectors and competencies. You will work hands-on across the full stack, using modern GenAI techniques and AI-assisted tools to build and ship working software. Building proofs of concept is a secondary part of the role, used to test ideas before they are taken forward. You will also support client workshops and internal upskilling with demos and reusable components.

Job Description & Summary:As an Associate or Senior Associate in the GenAI Experience Lab, you will design and build generative AI solutions aligned with our priority sectors and competencies. You will work hands-on across the full stack, using modern GenAI techniques and AI-assisted tools to build and ship working software. Building proofs of concept is a secondary part of the role, used to test ideas before they are taken forward. You will also support client workshops and internal upskilling with demos and reusable components.PwC India\'s GenAI Experience Lab designs and builds generative AI solutions for clients in the sectors and competencies the firm focuses on. We also run workshops to train client and internal teams on GenAI, and build proofs of concept to test ideas before they are taken forward.Job Position Title:IN_Senior Associate_GenAI Developers_Alliances_IFS_Gurgaon/Bangalore
Responsibilities:

• Design and build GenAI solutions aligned with priority sectors and competencies, from problem definition to deployable software.
• Develop full stack applications: front-end (React/Next.js, TypeScript) and back-end/APIs (Python FastAPI and/or Node).
• Implement core GenAI patterns: RAG pipelines, prompt engineering, structured outputs, function/tool calling, streaming, model integration.
• Build retrieval layers including chunking, embeddings, hybrid search, re-ranking; set up vector databases and knowledge graphs.
• Integrate model providers and cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI) and open-weight models.
• Build agent workflows using LangChain, LlamaIndex, LangGraph or CrewAI.
• Utilize AI-assisted coding tools like Cursor, Claude Code, GitHub Copilot, v0, Lovable, Bolt, Replit.
• Build proofs of concept and demos to test ideas and support client conversations.
• Support client workshops and internal upskilling with demos, sample apps, and reusable components.

Mandatory skill sets:

• ~3–8 years in software development, with at least 3 years hands-on building GenAI solutions and POCs.
• Strong full-stack skills: front-end (React / Next.js, TypeScript) and back-end (Python FastAPI and/or Node), REST / GraphQL.
• Hands-on experience building GenAI applications: RAG, embeddings, prompt engineering, function and tool calling, and at least one agent framework.
• Practical experience using AI-assisted / vibe-coding tools.
• Working knowledge of at least one cloud platform (Azure / AWS / GCP) and its AI services.
• Comfortable with Git, Docker, and standard development workflows.

Preferred skill sets:

• Experience with advanced RAG (re-ranking, GraphRAG, agentic RAG) and multi-agent patterns.
• Experience with document AI or vision (e.g., Azure Document Intelligence, GPT-4o / Gemini vision).
• Familiarity with LLMOps and evaluation tooling (LangSmith, LangFuse, MLflow), and cloud certifications.
• Experience supporting client demos or workshops.

Years of experience required:3–8 years total software development experience, with 3+ years specifically in GenAI development.
Education qualification:

• B.Tech in Computer Science / IT (preferred).
• MBA in a related field from a Tier-1 or Tier-2 institute (IIM, ISB, XLRI, FMS, MDI) is an added advantage.
• Clear written and verbal communication skills, comfortable presenting to clients and internal teams.

Tech Stack You\'ll Work With

• Languages & Frameworks: Python (FastAPI, Pydantic), TypeScript / Node, React / Next.js, SQL
• LLMs & APIs: GPT-5+, Claude Opus/Sonnet, Gemini 2.x, Llama 3.x, Mistral; function/tool calling, JSON-mode, streaming
• GenAI Frameworks: LangChain, LlamaIndex, LangGraph, CrewAI
• RAG & Retrieval: Embeddings, chunking, hybrid search, re-ranking; Pinecone, Qdrant, pgvector, Chroma, Neo4j
• Cloud & AI Services: Azure OpenAI, AWS Bedrock or Google Vertex AI (one primary; exposure to others)
• AI-Assisted Dev (Vibe Coding): Cursor, Claude Code, GitHub Copilot, v0, Lovable, Bolt, Replit
• Dev & Infra: Git, Docker, REST / GraphQL APIs