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. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
Job DescriptionWe 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.
Skills Required
- 4+ years of software engineering experience with strong full-stack development expertise
- Strong experience with 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 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 SSO and role-based access control
- Experience building user-facing products with 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 ability to engage technical and non-technical stakeholders
- Experience with conversational interfaces, chatbot applications, or AI-powered products
- Familiarity with Streamlit and React for production-grade user interfaces
- Experience integrating with Vertex AI, OpenAI, Anthropic, or similar LLM platforms
- Exposure to event-driven or serverless architectures using Cloud Run and Pub/Sub
- Experience building visual analytics components with charts and interactive tables
- Familiarity with black-box and regression testing strategies for AI-enabled products
Blend360 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.
-
Fair & Transparent Compensation — Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
-
Flexible Benefits — Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
-
Retirement Support — A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.
Blend360 Insights
What We Do
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.
