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.