Join a dynamic team focused on driving functional excellence and innovation through advanced customer solutions. This role offers the opportunity to build cutting-edge, AI-powered web applications that redefine user experiences.

If you're passionate about leveraging AI/ML integrations, LLM-based applications, and data-driven features, this is your chance to contribute to scalable solutions. You'll be instrumental in embedding intelligent capabilities like chatbots, recommendation engines, and semantic search into our products.

This position is based in Bengaluru and offers a hybrid working model, with occasional travel to client locations. We are seeking experienced professionals ready to make a significant impact.

Design, develop, and implement end-to-end full-stack applications using React.js for the frontend and Node.js for the backend. Integrate advanced AI-powered features by leveraging APIs from providers like OpenAI and Azure OpenAI. Develop intelligent user interfaces, including chat interfaces and recommendation systems. Build and maintain robust REST/GraphQL APIs, including specialized AI orchestration layers. Implement prompt engineering and LLM workflows to address complex business challenges. Manage structured and unstructured data, including embeddings and vector search technologies. Focus on optimizing application performance, scalability, and cost, with particular attention to AI workloads. Collaborate closely with cross-functional teams to define and deliver AI-driven product features. Ensure comprehensive testing, monitoring, and observability for all application components, both traditional and AI-enhanced.

Demonstrate strong proficiency in frontend development with React.js, including Hooks, Context API, and modern state management techniques. Experience building dynamic, conversational UIs and familiarity with Next.js are essential. Possess solid backend skills in Node.js, utilizing frameworks like Express.js, NestJS, or Fastify. Proven experience building APIs and backend services, alongside an understanding of async workflows and event-driven systems, is crucial. Show hands-on experience integrating LLM APIs (e.g., OpenAI) and a good grasp of prompt engineering, embeddings, vector databases, and RAG patterns. Experience building chatbots, text summarization systems, or semantic search engines is highly valued. Familiarity with SQL and NoSQL databases, including exposure to vector databases and hybrid search architectures. Knowledge of data pipelines and preprocessing for AI applications is required. Experience with cloud platforms like AWS, Azure, or GCP, along with serverless architectures, containerization (Docker), and CI/CD pipelines. Understanding of deploying AI workloads and model endpoints is necessary. Proficiency in testing methodologies, including unit, integration, and end-to-end testing, with an awareness of evaluating AI outputs. Knowledge of logging and monitoring tools is expected. Understanding of security best practices, including authentication and authorization (JWT, OAuth2), and an awareness of responsible AI practices are important.