T&T_Customer_M&C - Consultant | Full Stack - React + Node / NestJS | Bengaluru

T&T_Customer_M&C - Consultant | Full Stack - React + Node / NestJS | Bengaluru Job requisition ID : 107061 Location : Bengaluru Entity : Deloitte Touche Tohmatsu India LLP The team Customer has to do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth. Learn more about: Customer Key Responsibilities: We are seeking a Full Stack Developer (Node.js + React.js) with 45 years of experience who can build modern, AI-powered web applications. This role requires strong full-stack fundamentals along with hands-on exposure to AI/ML integrations, LLM-based applications, and data-driven features. You will work on building scalable applications while integrating AI capabilities like chatbots, recommendations, semantic search, and automation workflows into products. Design and develop end-to-end applications using React.js (frontend) and Node.js (backend) Build and integrate AI-powered features using APIs (e.g., OpenAI, Azure OpenAI, Hugging Face) Develop intelligent user experiences such as chat interfaces, copilots, and recommendation systems Build and maintain REST/GraphQL APIs, including AI orchestration layers Implement prompt engineering and LLM workflows to solve business use cases Work with structured and unstructured data, including embeddings and vector search Optimize application performance, scalability, and costespecially for AI workloads Collaborate cross-functionally to define and deliver AI-driven product features Ensure robust testing, monitoring, and observability for both traditional and AI components Core Technical Skills Frontend: Strong experience with React.js (Hooks, Context API, modern state management) Experience building dynamic, conversational UIs (chat-based interfaces, streaming responses) Familiarity with Next.js (SSR, SSG) for performance and SEO Backend: Proficiency in Node.js (Express.js, NestJS, or Fastify) Experience building APIs and backend services Understanding of async workflows and event-driven systems AI / ML & Modern Capabilities: Hands-on experience integrating LLM APIs (OpenAI, Azure OpenAI, etc.) Understanding of: Prompt engineering techniques Embeddings and vector databases (Pinecone, Weaviate, FAISS, etc.) RAG (Retrieval-Augmented Generation) patterns Experience building: Chatbots / copilots Text summarization / classification systems Semantic search or recommendation engines Familiarity with frameworks like: LangChain / LlamaIndex / Semantic Kernel Data & Storage: Experience with: SQL (PostgreSQL, MySQL) NoSQL (MongoDB, Redis) Exposure to vector databases and hybrid search architectures Knowledge of data pipelines and preprocessing for AI applications Cloud & DevOps: Experience with cloud platforms (AWS / Azure / GCP) Familiarity with: Serverless architectures (Lambda, Functions) Containerization (Docker) CI/CD pipelines Understanding of deploying AI workloads and model endpoints Testing & Reliability: Experience with unit, integration, and end-to-end testing Familiarity with testing AI outputs (evaluation frameworks, prompt tuning loops) Knowledge of logging and monitoring tools Security & Responsible AI: Understanding of: Authentication & authorization (JWT, OAuth2) API security best practices Awareness of: Responsible AI practices Bias, hallucination handling, and safe output design Preferred / Nice-to-Have Skills: Experience fine-tuning or working with open-source models Exposure to Python (for ML workflows, FastAPI, etc.) Knowledge of: Streaming architectures (Kafka, Pub/Sub) Real-time AI applications Familiarity with multi-modal AI (text, image, audio) Experience building AI copilots for internal tools or SaaS products Soft Skills: Strong problem-solving mindset with ability to translate business problems into AI solutions Curiosity and willingness to experiment with emerging AI tools Ability to balance engineering rigor with rapid prototyping Strong communication skills for cross-team collaboration 45 years of experience in full-stack development Hands-on experience delivering production-grade applications Demonstrated work on AI-integrated features or side projects (GitHub, demos, etc.) What Success Looks Like: Successfully delivers AI-powered features that improve user experience or automation Builds scalable full-stack systems with efficient AI cost-performance tradeoffs Brings innovative ideas on how AI can enhance product capabilities Contributes to evolving AI architecture and best practices Location and way of working: Base location: Bengaluru Education: Professional Qualification - B.E./B.Tech/MCA/MBA/MS This profile involves occasional travelling to client locations. Hybrid is our default way of working. Each domain has customized the hybrid approach to their unique needs.