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 4–5 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 cost—especially 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
- 4–5 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.
