Senior Full-Stack Engineer, AI-Powered Enterprise Apps

Evolver

Iowa

On-site

USD 120,000 - 180,000

Full time

39 hours ago

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Job summary

Evolver in the United States is seeking a Senior Full-Stack Engineer to join our Application Experiences team and build applications that bring our AI platform into everyday enterprise work. You will develop web experiences that help users across roles accomplish their tasks with AI, connecting frontend interfaces to business logic, data, and platform capabilities.

Working with product managers, designers, domain experts, and platform engineers, you will own features from technical design

Qualifications

6+ years of professional software engineering experience.
Experience delivering features across frontend, backend, and API integrations.
Hands-on experience building AI-powered applications and integrating LLM capabilities into workflows.
Design maintainable web applications with reusable components and proper state management.
Experience building backend services in Python and REST APIs.
Experience integrating REST APIs with streaming updates and long-running tasks.
Strong web performance, responsive design, and accessibility.
Practical understanding of LLM patterns and human review.
Ability to translate ambiguous business needs into clear user journeys and designs.
Strong communication and collaboration with cross-functional teams.

Responsibilities

Build features across the full stack: Translate customer needs, business scenarios, and user requirements into working applications. Own implementation across frontend interfaces and backend integrations, from early prototypes through production releases.
Create intuitive web experiences: Develop responsive, accessible interfaces tailored to different user roles and workflows.
Develop application services and integrations: Build and maintain backend services and APIs that connect user experiences to business logic, enterprise data, and AI capabilities.
Improve application architecture: Contribute to component design, state management, service boundaries, and integration patterns that support maintainability and reliability.
Deliver production‑quality AI experiences: Handle streaming responses, long‑running operations, incomplete results, and failures gracefully; build automated tests and instrumentation.
Strengthen engineering quality: Participate in technical design discussions, review production code, and mentor teammates; collaborate with multiple teams to deliver enterprise-ready apps.