Application Lead

Accenture in India; Mumbai; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Accenture in India is seeking an experienced Python Full Stack & GenAI Engineer to design, build, and deploy scalable AI-powered applications. You will work on Python-based backends, React front-ends, and end-to-end data pipelines in a cloud-native environment.

The ideal candidate has hands-on experience with LLMs, RAG, vector databases, and secure authentication, plus ability to mentor juniors and contribute to architectural decisions in a fast-paced enterprise setting.

Qualifications

• Must have strong Python programming experience.
• Hands-on experience with React.js and AI/GenAI solution development.
• Experience in building scalable full-stack and data pipelines.
• Knowledge of secure authentication and authorization.

Responsibilities

• Design, develop, and lead Python-based full-stack and AI - GenAI applications.
• Build scalable REST APIs and responsive React.js front-end applications.
• Develop and optimize RAG pipelines, vector search, and Agentic AI workflows.
• Design secure authentication and authorization mechanisms.
• Build data ingestion and processing pipelines for structured/unstructured data.
• Mentor team members and contribute to architecture and technical decisions.

Skills

Python programming

OOPs

Design Patterns

Unit Testing

Data ingestion

REST API development

Education

15 years full time education

Tools

Flask

FastAPI

Django REST Framework

JWT/OAuth/SSO

NumPy

Pandas

Prefect

SQL

React.js

Redux

Jest

Git CI/CD

Docker

Kubernetes

AWS/Azure

Job description

Project Role :

Application Lead

Project Role Description :

Lead the effort to design, build and configure applications, acting as the primary point of contact.

Must have skills :

• Python (Programming Language)

Good to have skills :

• NA

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification :

• 15 years full time education

Summary:

Seeking an experienced Python Full Stack & AI-GenAI Engineer with expertise in Python, React.js, LLMs, RAG, Agentic AI, and cloud-native application development. The ideal candidate should have hands‑on experience in building scalable full-stack applications, AI-powered solutions, data pipelines, and enterprise-grade GenAI platforms.

Roles & Responsibilities

• Design, develop, and lead Python-based full-stack and AI - GenAI applications.
• Build scalable REST APIs and responsive React.js front-end applications.
• Develop and optimize RAG pipelines, vector search, and Agentic AI workflows.
• Design secure authentication and authorization mechanisms.
• Build data ingestion and processing pipelines for structured/unstructured data.
• Mentor team members and contribute to architecture and technical decisions.

Must Have Skills

• Python, OOPs, Design Patterns, Unit Testing
• Flask, FastAPI, Django REST Framework
• Authentication & Authorization (JWT or OAuth or SSO)
• Data Ingestion, Data Pipelines, Large File Handling
• NumPy, Pandas, DataFrames, Prefect
• Performance Tuning & Code Optimization
• SQL, PL-SQL, Data Modeling, Shell Scripting
• React.js, Redux, React Hooks, Context API
• REST API Integration (Axios-Fetch)
• Jest, React Testing Library
• Git, CI-CD

AI - GenAI Skills

• LLM Integration, GenAI Tooling
• RAG Pipeline Development & Optimization
• LangChain, LangGraph, Sentence Transformers
• Hugging Face Transformers
• Vector Databases (FAISS, Qdrant, Weaviate)
• Embedding Models (OpenAI, BERT, or Similar)
• Agentic AI Workflows
• Semantic Search & Vector Search
• Grafana Monitoring & Observability

Good to Have

• Docker, Kubernetes, Containerization
• AWS/Azure CloudMicroservices Architecture
• Azure OpenAI, Bedrock, LlamaIndex, MCP

Additional Information

• Minimum 3+ years of Python development experience.
• Hands‑on experience in React.js and AI/GenAI solution development.
• Strong problem-solving and scenario-based troubleshooting skills.