Senior Full Stack Engineer

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. We help organisations solve complex business challenges by combining deep domain understanding with modern data and AI capabilities. Our teams work across strategy, analytics, engineering, and product delivery to create scalable, high-value solutions that improve decision-making, efficiency, and growth.

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.

Qualifications

• 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.

Additional Information

• 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.