Senior UX Engineer T500-28694

Position: Senior UX Engineer [T500-28694]
Location: Vasanthanagar

ANSR is hiring for one of its clients.
About ANSR Med Tech:

Who We Are:

ANSR Med Tech  Capability Center is a new global innovation hub being established in India for a  Fortune 100 Fastest-Growing Company in the Med Tech sector.  Built in partnership with ANSR, the center draws on ANSR’s proven experience in establishing and scaling high-performance Global Capability Centers GCCs) for leading global enterprises.
ANSR Med Tech center brings together world-class engineering, product, and technology talent to build next-generation healthcare platforms and solutions that power global operations.

Our Vision:
To build a next-generation Med Tech capability center that powers global healthcare innovation.  We envision:
High-impact innovation hubs shaping global product and technology roadmaps
Centers that go beyond support functions to drive core engineering and platform development
Sustainable, scalable ecosystems that nurture world-class Med Tech talent
Capability centers that directly influence patient outcomes worldwide

Job Title:

Senior UX Engineer
Sub-Function:  AI Engineering

Location:

Bengaluru, India

About the Role:

Senior UX Engineer will be a core contributor within the India COE, responsible for designing and building intuitive, high-quality interfaces that make complex AI applications, models, and data workflows understandable and usable blending design sensibility with hands-on front-end engineering.
This role rapidly prototypes through "vibe coding," hardens the best ideas into production React applications, and creates compelling visualizations that turn model outputs and analytical results into clear, interactive experiences. The UI/UX Engineer partners closely with Data Science, AI Engineering, Analytics Engineering, and business partners, executing end-to-end with limited oversight while contributing to shared component libraries, design systems, and front-end standards.

Scope of Responsibility:
UX Design & Product Thinking:
Partner with Data Science, AI Engineering, and business partners to translate complex AI workflows and model outputs into clear, intuitive user journeys and interaction models
Conduct user research, journey mapping, and usability testing to ground design decisions in real user needs and measurable outcomes
Produce wireframes, interactive prototypes, and high-fidelity mockups that communicate intent and de-risk decisions before engineering investment
Design for explain ability and trust surfacing model confidence, uncertainty, provenance, and human-in-the-loop controls so users understand and can act on AI outputs
Apply accessibility (WCAG) and inclusive-design principles so interfaces are usable across abilities and contexts
Advocate for the user throughout delivery, balancing desirability, feasibility, and business value.

Front-End Engineering (React & Modern Web):
Build responsive, performant, production-grade web applications in React and Type Script, translating designs into clean, maintainable components
Apply modern front-end patterns component composition, state management, hooks, and design tokens to build scalable UIs
Integrate front-ends with backend and model-serving APIs (REST, GraphQL, streaming), handling asynchronous data and loading, error, and real-time states gracefully
Write clean, well-tested, reviewable front-end code with unit and component tests, and participate actively in code review
Optimize for performance and perceived latency : bundle size, rendering, and responsiveness especially for data-heavy AI interfaces
Ensure cross-browser and cross-device consistency.

Data Visualization for AI & Analytics:
Design and build compelling, interactive visualizations that turn model outputs, metrics, and analytical results into clear, actionable insight
Select the right visualization for the question from standard charts to bespoke custom visuals using libraries such as D3, Recharts, Plotly, or equivalent
Build dashboards and exploratory interfaces that let users drill into AI workflows, model behavior, and pipeline outputs
Visualize model explain ability and evaluation feature importance, drift, calibration, and confidence in ways non-technical users can interpret
Handle large and…