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Job Description:We are looking for an experienced Senior Full Stack Engineer to help deliver an AI-powered conversational analytics solution for a large enterprise client. This role will be responsible for building and integrating the front-end and back-end components of the product, including user-facing conversational experiences, backend services, orchestration layers, and integrations with data and AI services. The ideal candidate will bring strong experience across modern web application development, backend APIs, cloud-native application patterns, and product-grade engineering practices. This person will help create a secure, scalable, and intuitive experience that allows business users to query business data in natural language and receive accurate, narrative-driven insights supported by charts and tables.
Responsibilities
- Design, build, and maintain full stack application components for a conversational analytics platform.
- Develop backend services and APIs that support user queries, orchestration flows, data access, and AI and LLM interactions.
- Build and enhance the conversational front-end interface using modern web technologies such as React or other agreed frameworks.
- Integrate the application with LLM services, orchestration layers, semantic data services, and enterprise authentication mechanisms. Implement secure, scalable, and maintainable patterns for user interactions, session handling, and role-based access.
- Build features that present outputs clearly through narrative responses, charts, and tabular visualisations. Collaborate with AI Engineers on prompt-driven workflows, fallback logic, guardrails, and agent-based interactions.
- Work with Data Engineers to integrate structured datasets and semantic layers into the user experience. Support usability improvements through pilot feedback, user acceptance testing, and iterative product refinement.
- Ensure application reliability, performance, and observability across Dev, Test, and Production environments. Contribute to architectural decisions in collaboration with client platform teams and enterprise stakeholders. Produce high-quality engineering documentation and support knowledge transfer to client teams.
- 4+ years of experience in software engineering, with strong full stack development expertise.
- Strong experience building modern web applications using JavaScript or TypeScript and front-end frameworks such as React.
- Strong backend development experience using Python, Node.js, or similar technologies.
- Experience designing and consuming REST APIs and integrating with cloud-native services.
- Understanding of application architecture, service orchestration, and secure engineering patterns.
- Experience deploying and hosting applications in cloud environments such as GCP.
- Familiarity with authentication and enterprise access patterns such as SSO and role-based access control.
- Experience building user-facing products with strong attention to usability, clarity, and performance.
- Experience working in agile, cross-functional teams with Data, AI, and DevOps disciplines.
- Strong version control and software delivery practices using Git.
- Strong communication skills and comfort engaging with technical and non-technical stakeholders.
- Good to Have Experience with conversational interfaces, chatbot applications, or AI-powered products.
- Familiarity with Streamlit for rapid prototyping and React for production-grade user interface delivery.
- Experience integrating with Vertex AI, OpenAI, Anthropic, or similar LLM platforms.
- Exposure to event-driven or serverless architectures using services such as Cloud Run and Pub/Sub.
- Experience building visual analytics components with charts and interactive tables.
- Familiarity with testing strategies for AI-enabled products, including black-box and regression testing.
