Aimed at senior full-stack engineers with AI integration experience who can lead small teams and work in a hybrid model in Palo Alto.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Evolver via Greenhouse
About Us
We are an innovative AI company with a team of 100+ people focused on transforming core enterprise functions in Fortune 500 companies. Our platform combines a rich understanding of a company’s current state with deep domain expertise to execute these functions with accuracy and consistency through code, statistical methods, and guided ML and LLM execution. It handles processes end-to-end, engaging humans when needed to maximize efficiency and quality.
Join us at the forefront of AI innovation, where your expertise will directly shape the future of enterprise operations.
Role Overview
We are looking for a hands-on full-stack engineering lead to lead a small development team and own the technical roadmap, architecture, and delivery of applications built on our AI platform.
You will build web experiences that help users across different roles accomplish their work with AI. These applications will support a range of business scenarios—from initiating tasks and providing context to reviewing AI-generated results, making decisions, and monitoring progress. You will connect these experiences to backend APIs that expose business logic and AI platform capabilities.
Working closely with product leaders, designers, domain experts, and platform engineers, you will translate business needs into intuitive, reliable applications. This role combines team leadership, technical direction, and coaching with substantial hands-on development across the frontend and application backend.
Key Responsibilities
Own the application roadmap and delivery: Translate customer needs, business scenarios, and persona requirements into technical priorities and achievable milestones. Lead delivery from early prototypes through production releases and ongoing improvement.
Build intuitive web experiences: Develop responsive, accessible interfaces tailored to different user roles and workflows. Make complex AI interactions understandable, including providing input, tracking progress, reviewing outputs, correcting results, and approving actions.
Connect applications to business capabilities: Integrate web experiences with backend APIs exposing business logic, enterprise data, and AI services. Collaborate on API contracts and build application services where needed to support complete user journeys.
Evolver frontend-backend application patterns: Including component boundaries, state management, and integration approaches that support maintainability, reuse, performance, and reliability.
Deliver production-quality AI experiences: Handle streaming responses, long-running operations, incomplete results, and failures gracefully. Establish testing, observability, and evaluation practices that measure application reliability, AI output quality, and user success.
Lead a small development team: Set technical direction, coordinate delivery, coach developers, and maintain engineering quality while writing and reviewing production code. Partner with product, design, domain, platform, infrastructure, and security teams to deliver enterprise-ready applications.
Qualifications
Experience
8+ years of professional software engineering experience, including substantial experience building production web applications.
Experience owning a technical roadmap and/or leading a development team to deliver applications across frontend and backend integrations.
Hands-on experience building AI-powered applications and integrating LLM or agent capabilities into user-facing workflows.
Technical Skills
Strong proficiency in TypeScript or JavaScript and frontend frameworks like Vue and React.
Experience designing web application architecture, including reusable components, application state, routing, and data fetching.
Experience integrating REST APIs and asynchronous services, including streaming updates and long-running tasks.
Practical understanding of LLM application patterns, including conversational interfaces, structured outputs, retrieval-augmented generation, and human review.
Strong understanding of web performance, responsive design, and accessibility.
Soft Skills
Ability to turn ambiguous business needs into clear user journeys, technical plans, and delivery milestones.
Strong architectural judgment and clear communication of technical tradeoffs.
Experience collaborating closely with product managers, designers, domain experts, and platform engineers.
A practical approach to balancing rapid experimentation with application quality and production reliability.
Comfort taking ownership in a fast-moving startup environment.
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Benefits
Competitive Compensation: Tailored to your experience and skill set.
Flexible Work Arrangements: Hybrid working model.
Career Growth: Opportunities to expand your technical and leadership responsibilities.
Meaningful Impact: Direct ownership of applications that bring AI capabilities into everyday enterprise work.
Source: Evolver careers (Greenhouse)