Job Title: Senior Consultant | Backend + Python (Short Fuse) | Mumbai - Commerz III | Engineering | Platform De

Senior Consultant | Backend + Python (Short Fuse) | Mumbai - Commerz III | Engineering | Platform De
• Job requisition ID : 115969
• Location: Mumbai - Commerz III
• Entity: Deloitte Touche Tohmatsu India LLP
The Team
Deloitte’s Technology & Transformation practice delivers secure, scalable, and business-critical web-based solutions for global enterprises. Our teams combine full-stack application development, cloud technologies, infrastructure administration, cybersecurity, API integration, and AI-assisted engineering to modernize enterprise applications and improve digital service delivery.
We work across the complete application lifecycle, including requirements engineering, solution design, development, migration, testing, deployment, production support, and continuous improvement.
Your Work Profile
We are looking for a skilled Senior Consultant – AI Engineering & Digital Solutions with hands-on experience in Azure PaaS, Microsoft Foundry, Python, and React. The candidate will be responsible for developing, integrating, testing, and deploying enterprise applications and AI-powered solutions. The role requires strong software engineering fundamentals, practical GenAI implementation experience, and the ability to collaborate with architects, business stakeholders, and cross-functional engineering teams.
Key Responsibilities
- Azure PaaS: Develop and deploy cloud-native applications using Azure App Service, Azure Functions, API Management, Azure Storage, Key Vault, and other relevant Azure services.
- Microsoft Foundry & GenAI: Build AI-powered applications using LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector search, and AI agents with tool calling.
- Python Development: Develop backend services, REST APIs, and business logic using Python frameworks such as FastAPI, Flask, or Django.
- React Development: Build responsive web applications and reusable UI components using React, JavaScript/TypeScript, HTML, and CSS.
- Application Integration: Integrate React frontends, Python APIs, Microsoft Foundry models, Azure AI services, databases, and enterprise systems.
- Security & Performance: Implement secure authentication, authorization, error handling, logging, monitoring, and performance optimization.
- DevOps & Quality: Participate in code reviews, write unit and integration tests, and support CI/CD pipelines, automated deployments, and production releases.
- Solution Delivery: Work with technical leads, architects, and business teams to translate requirements into technical designs and deliver solutions within agreed timelines.
Required Skills & Qualifications
- 5–8 years of experience in software development, application engineering, and cloud-based solution delivery.
- Strong hands-on expertise in Python, React, and Microsoft Azure PaaS.
- Education - Bachelor’s degree in business, Engineering, Management, or a related field
- Practical experience with Microsoft Foundry (formerly Azure AI Foundry) and building generative AI or LLM-powered applications.
- Understanding of RAG pipelines, prompt engineering, embeddings, vector search, and AI agent integration.
- Experience developing REST APIs, integrating external services, and working with relational or NoSQL databases.
- Knowledge of Azure App Service, Azure Functions, API Management, Key Vault, and Microsoft Entra ID.
- Familiarity with Git, CI/CD, automated testing, debugging, and Agile development practices.
- Strong analytical, problem-solving, communication, and collaboration skills.
Good to Have:
Azure AI Search, Azure OpenAI, Semantic Kernel / Microsoft Agent Framework, Docker, Terraform/Bicep, Azure DevOps, and relevant Microsoft certifications.
Ideal Candidate
A hands-on full-stack engineer with practical GenAI development experience who can independently build Python backend services, React user interfaces, and AI-powered capabilities on Azure. The candidate should be comfortable taking ownership of assigned technical components, troubleshooting issues, collaborating with senior engineers, and contributing to production-ready enterprise solutions.
