Deloitte is hiring a Software Engineer II – Gen AI for its AI & Engineering team. This is a full-time opportunity for professionals with 3–6 years of experience across AI, ML, software engineering or full-stack development. The role focuses on building production-ready Generative AI, agentic AI, multi-agent systems and LLM-enabled applications, while combining modern full-stack development with AI-augmented engineering.
🏢 About Deloitte
Deloitte is a global professional-services organization operating across consulting, technology, audit and related business services. Its India technology teams work on large-scale engineering and transformation programs for enterprise clients. For this opening, the AI & Engineering team operates through an Engineering as a Service model covering solution design, implementation and technology operations. The team works with product-engineering approaches to modernize technology and deliver complex programs.
💼 Job Overview
🔹 Company: Deloitte
🔹 Role: Gen AI – Software Engineer II
🔹 Experience: 3–6 Years
🔹 Location: Bengaluru/Hyderabad
🔹 Work Mode: On-site
🔹 Employment: Full-time
🔹 Requisition: 360113
🔹 Primary Focus: GenAI, Agentic AI, Full Stack, APIs, Cloud & AI Engineering
🤖 What Will You Work On?
The position involves designing autonomous agents, multi-agent workflows and LLM-powered applications. You may also develop full-stack applications using React or Angular on the frontend and Java, Python, Node.js or .NET on the backend.
The role additionally emphasizes AI-assisted software development using GitHub Copilot, Claude Code or similar tools, together with prompt-engineering techniques such as zero-shot, few-shot and chain-of-thought prompting. Engineers are expected to critically review AI-generated code for security, correctness, maintainability and performance.
🌟 Why This Role Is Good for Experienced Engineers
This opportunity combines several areas that are increasingly converging in modern engineering: LLMs + agentic systems + full-stack development + cloud + DevOps. Candidates can work on enterprise AI use cases while maintaining conventional software-engineering responsibilities such as API development, application architecture, deployment and production support.
For engineers with 3–6 years of experience, the role can also provide exposure to enterprise-scale engineering practices and client-oriented delivery through Deloitte’s Engineering as a Service organization.
🧠 Skills Required
✔ Generative AI and LLM application development
✔ Agentic AI, autonomous agents and multi-agent systems
✔ Prompt engineering and AI-assisted development
✔ React/Angular with TypeScript or JavaScript
✔ Java 11+ with Spring Boot/Spring MVC, Python or Node.js
✔ REST/GraphQL APIs
✔ OAuth 2.0, JWT and application security
✔ Docker and Kubernetes
✔ CI/CD pipelines and cloud platforms
✔ Microservices/event-driven architecture
✔ PostgreSQL/MySQL/SQL Server or NoSQL technologies
✔ Git and modern software-development practices
⭐ Preferred: LangChain, LangGraph, AutoGen, MCP, embeddings, vector/knowledge stores, FastAPI/Flask, model evaluation, guardrails and responsible AI.
🎯 Expected Interview Rounds
Round 1 – Technical/GenAI screening; Round 2 – Deep technical or architecture discussion; Final – Managerial/HR or stakeholder discussion.
💰 Salary Range
The job posting itself does not disclose an official salary range. Recent user-submitted salary data for Deloitte Software Engineer II roles in India shows several 4–6 year submissions around ₹10–30 LPA, including Bengaluru submissions around ₹20–30 LPA. Therefore, candidates may use ₹15–30 LPA as an indicative discussion range, but actual compensation can vary by level, experience, location, skill fit and negotiation. This is not a Deloitte-confirmed package.
📚 Preparation Tips
🔥 Build one complete Agentic AI architecture: Be ready to explain agents, tools, memory, orchestration, multi-agent communication, failure handling and human-in-the-loop controls.
🧠 Revise RAG deeply: Cover chunking, embeddings, vector search, retrieval, reranking, context limits, hallucination reduction and evaluation.
💻 Practice AI-assisted coding: Know how you use Copilot/Claude Code while validating generated code instead of blindly accepting it.
🎯 Prepare prompt engineering: Understand zero-shot, few-shot, structured prompts and when different prompting approaches are appropriate.
🏗️ Prepare full-stack system design: Practice designing an Angular/React frontend connected to Java/Python/Node APIs and an LLM service.
☁️ Know production deployment: Revise Docker, Kubernetes, CI/CD, cloud deployment, logging, monitoring and scalability.
🔐 Don’t ignore security: Prepare OAuth 2.0, JWT, prompt injection, data leakage, access control and validation of AI-generated outputs.
📄 Resume Tips
Make the first half of your resume immediately communicate GenAI + Software Engineering. Instead of writing only “worked on AI chatbot,” quantify the architecture and impact: number of users, latency improvement, retrieval accuracy, cost reduction, automation percentage or deployment scale where genuinely applicable.
Create a dedicated GenAI Projects section if your professional experience is not entirely AI-focused. Mention RAG, agents, LangChain/LangGraph, embeddings, vector databases, LLM APIs, FastAPI, React/Angular, Java/Python, Docker and cloud only where you have hands-on experience. Highlight one project from requirements → architecture → implementation → evaluation → deployment. This JD strongly rewards candidates who demonstrate both AI depth and production software-engineering ability.
📩 How to Apply
👉 Application Link: Click Here
🤝 Referral Tip
Want to improve your chances of getting noticed?
Connect with someone at Deloitte and request a referral—it can significantly enhance your visibility in the hiring process.
Candidates should apply through Deloitte’s official India careers platform using the job-specific profile. Deloitte advises candidates to submit profiles only for positions that match their skills and qualifications.
Before applying, check that your resume clearly reflects the required 3–6 years of experience, GenAI/AI delivery, agentic systems, full-stack development, APIs, cloud and production engineering. The current listing identifies Bengaluru/Hyderabad and the role as full-time/on-site.
🚀 Final Thoughts
This Deloitte opening sits at the intersection of Generative AI, agentic systems and modern software engineering. Candidates who can demonstrate not just LLM experimentation but also scalable application development, security, deployment and production ownership will find the JD closely aligned with those capabilities. If your background combines GenAI + full-stack + cloud, this is a role worth reviewing carefully against your experience and career goals.
