Job title: Gen AI Full Stack Developer – Consultant (2-4 years)
About
At Deloitte, we do not offer you just a job, but a career in the highly sought-after risk management field. We are one of the business leaders in the risk market. We work with a vision to make the world more prosperous, trustworthy, and safe. Deloitte’s clients, primarily based outside of India, are large, complex organizations that constantly evolve and innovate to build better products and services. In the process, they encounter various risks and the work we do to help them address these risks is increasingly important to their success—and to the strength of the economy and public security.
By joining us, you will get to work with diverse teams of professionals who design, manage, implement & support risk-centric solutions across a variety of domains. In the process, you will gain exposure to the risk-centric challenges faced in today’s world by organizations across a range of industry sectors and become subject matter experts in those areas.
Our Audit and Assurance services professionals help organizations effectively navigate business risks and opportunities—from financial risks to operational, IT, business and regulatory risks—to gain competitive advantage. We apply our experience in ongoing business operations and corporate lifecycle events to help clients become stronger and more resilient. Our market-leading teams help clients embrace complexity to accelerate performance, disrupt through innovation, and lead in their industries. We use cutting-edge technology like AI/ML techniques, analytics, and Robotic Process Automation (RPA) to solve Deloitte’s clients‘ most complex issues. Working in Audit and Assurance at Deloitte US-India offices has the power to redefine your ambitions.
Work you’ll do
The key job responsibilities will be to:
• Analyze client requirements, perform gap analysis, design and develop digital solutions using data analytics tools and technologies to solve client needs
• Design, build, and implement custom AI and Generative AI solutions tailored to meet specific business needs
• Utilize advanced machine learning techniques to develop/train AI models and fine-tune Gen-AI models.
• Architect, build, and optimize agentic AI systems (e.g., autonomous agents, multi-agent frameworks, LLM-powered agents). Integrate agentic AI solutions with existing enterprise platforms and workflows.
• Evaluate emerging agentic AI models, frameworks, and toolkits. Prototype and benchmark agentic AI solutions for scalability, robustness, and safety.
• Continuously monitor and improve the performance of AI models to ensure they meet the desired performance metrics
• Deploy solution across various cloud and on-prem computing platforms
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
• Conduct data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making.
• Provide technical expertise and thought leadership in the field of AI/Generative AI to guide clients in adopting AI-driven solutions.
• Stay up to date with the latest advancements in AI and machine learning technologies to incorporate cutting-edge solutions into projects.
Required skills
• Proficiency in designing and developing generative AI models and AI algorithms utilizing state-of-the-art techniques.
• Experience in developing and maintaining data pipelines and Retrieval-Augmented Generation (RAG) solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning
• Experience with cloud services (AWS, Azure, GCP) for deploying AI models and applications.
• Familiarity with Gen AI application design and architecture
• Practical experience of evaluating Large-Language Models (LLM) performance (using common metrics)
• In-depth knowledge of Natural Language Processing (NLP) and its applications in AI solutions.
• Expertise in handling large multi-modal data sets and applying data preprocessing techniques to ensure data quality and relevance.
• Ability to analyze and interpret complex data to derive actionable insights and drive decision-making processes
• Strong knowledge of programming languages like Python and SQL
• Proficiency in building agent frameworks, RAG pipelines, experience in LLM Frameworks like LangChain or LlamaIndex; implementation exposure to vector databases like Pinecone, Chroma or FAISS
• Familiarity with agentic AI frameworks and concepts - LangChain, LangGraph, AutoGen, Model Context Protocol (MCP)’s
• Strong understanding of Gen AI techniques and LLMs such as GPT, Gemini, Claude, etc. and Open Source LLMs (Llama, Mistral, etc.)
• Expertise in Natural Language Processing (NLP), Deep Learning, LLMs & Generative AI (Gen AI)
• Experience with frameworks such as TensorFlow, PyTorch and Keras
• Familiar with AI/Gen AI Ethics & Governance frameworks, applications and archetypes
Preferred skills
• Certification in Cloud (AWS/ Azure / GCP)
• Certification in AI/ML or Data Analytics
Qualification
• B.Tech/B.E. and/or MBA
Preferred Locations
• Hyderabad
• Bengaluru
• Gurgaon
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