Front-End AI Engineer Jobs
Front-End AI Engineer jobs are open across fintech, healthtech, enterprise SaaS, and consumer tech, from new-grad to staff and principal level, with specializations in generative UI, model integration, and AI-native product development. Find a role that fits below and apply directly.
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The Trade Desk is a global technology company and the world's leading independent platform for digital advertising, with over 3,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more.
Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world's brands and agencies rely on us to reach their customers and grow their businesses responsibly.
The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you're driven to solve meaningful challenges, we'd love to meet you.
What we do
At The Trade Desk, Front-end Software Engineers deliver complex and data-rich UIs to our internal users and external clients. User experience can make or break our business, and it's crucial that we deliver a simple interface to our powerful and sophisticated platform, as well as rich insights mined from the petabytes of data streaming through our pipelines.
The Front-End Fundamentals team owns the overall framework and high-level architecture patterns that our feature teams use to deliver powerful features to our users, from campaign creation and targeting to real-time performance monitoring and troubleshooting. Alongside our partners in product management, design, and UX research, we work up and down the stack to deliver world-class experiences.
What you'll do:
Some of the work that you will be doing to help us deliver on our mission is:
- Own software delivery through the whole lifecycle: Design, build, and deploy software from inception to production
- Drive complex changes involving multiple components or services
- Ensure quality using automated tests, metrics, monitoring, and manual validation
- Collaborate with teammates and stakeholders from other teams and departments
- Deploy AI thoughtfully throughout the software development process
- Build execution plans incorporating user data, observations, market insight , and product roadmaps
- Implement and maintain product features
- Build components and processes that are regularly used by others
- Work on a distributed team and in a distributed system environment
- Understand the business objectives behind the code
- Understand system architecture fundamentals through self-directed learning
- Create clarity out of ambiguity as you join or lead complex projects
- Lead others through example, mentorship, and teaching
- Participate in hiring to grow the team
- Use data to analyze and communicate the impact of your work on operational efficiency
We are a global team with different backgrounds, experiences, and perspectives. To complement this team, you will welcome ideas that are different from your own and be well-versed in building from common ground to value, seek out, and foster invisible and visible dimensions of diversity.
Who you are:
We have a lot of fun together (especially on this team), but our culture is much deeper than that. Our UI engineers are passionate advocates for our users, both internal and external. We build trust by supporting each other generously; we approach problems with scrappy determination; and we pursue excellence unfailingly even when—especially when—it's not the easy path. Oh, and we laugh a lot. We take the work seriously, but not ourselves.
No list of requirements can capture the unique contribution of each individual team member. But we think that for a successful candidate, most of these will be true:
- You have 7+ years of experience building and delivering front-end software.
- You have a solid understanding of software engineering fundamentals.
- You have deep experience in in JavaScript/TypeScript, React, and browser APIs
- You are passionate about building beautiful and seamless user interfaces.
- You have love for, and desire to advance, the state of the art of technology.
- You can communicate effectively with both technical and non-technical audiences.
- You are comfortable working on an agile, distributed team spanning multiple time zones—and sometimes multiple continents.
- You have experience building enterprise level services.
- You have credentials or solid experience equivalent to a bachelor's degree in computer science. (Not every has the same educational opportunities; we look more at what you bring to the table than any specific degree.)
- You might even have some experience in server-side technologies: SQL and GQL, and maybe also C#, Java, or NodeJS.
There is no typical day at The Trade Desk or on this team, so we rely much more on your personal qualities and track record than on your experience with any single technology. We care about your attitude when approaching problems; your drive to learn and improve; your openness and generosity when you collaborate.
As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive.
Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process.
When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.
Front-End AI Engineer Jobs by Experience Level
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Who's Hiring



Top Industries Hiring
- Technology & Software13
- Manufacturing2
- Consulting & Professional Services2
- Insurance1
- Fashion & Apparel1
What Employers Look For
The qualifications that appear most often in Front-End AI engineer jobs.
- Proficiency in React or Next.js with TypeScript for production applications
- Experience integrating REST or streaming APIs from LLM providers such as OpenAI or Anthropic
- Ability to build and iterate on chat, autocomplete, or generative UI patterns
- Familiarity with state management and handling asynchronous model responses in the browser
- Understanding of prompt engineering fundamentals and token-budget constraints
- Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience
Tips for Your Front-End AI Engineer Job Search
Show AI integration work in your portfolio
Employers want to see front-end projects that call LLM APIs, stream model outputs, or render AI-generated content. If your portfolio only shows static UIs, add a small project that integrates a public model endpoint before you start applying.
Call out prompt-handling experience on your resume
Many front-end ai engineer roles expect you to own the prompt layer, not just display results. List any work where you designed prompt templates, handled streaming responses, or built retry and fallback logic directly in your resume's bullet points.
Apply early to roles that fit
Migrate Mate lists front-end ai engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter for teams using your stack
Front-end AI work varies sharply by stack: some teams run everything through React Server Components and edge functions, others rely on Python-backed inference APIs. Prioritize openings that name the specific framework and model provider you've actually shipped with.
Prepare a live demo for technical interviews
Take-home projects for this role almost always involve building a UI that calls a real AI endpoint under time pressure. Set up a local environment with your preferred model SDK before interviews start so you're not configuring API keys during the screen.
Negotiate scope alongside compensation
Many front-end ai engineer roles are still being defined inside companies. During offer discussions, clarify whether you'll own the AI product layer end-to-end or hand off to a separate ML team, since that affects both your day-to-day work and your growth path.
Front-End AI Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most front-end ai engineers?
The most active employers for front-end ai engineers right now are Amazon, Apple, and Synopsys, and the most openings are in California, Maryland, and Texas, based on current listings on Migrate Mate as of November 2026. Hiring is concentrated at product-led companies building AI-native features directly into their core user experience.
How many front-end ai engineer jobs are remote?
About 64% of front-end ai engineer openings are fully remote or hybrid as of November 2026, reflecting the distributed nature of product engineering teams at AI-focused companies. Roles centered on generative UI and LLM API integration tend to skew most remote, while positions requiring close collaboration with on-site research or design teams are more likely to be hybrid.
How do you become a front-end ai engineer?
Start by building strong foundations in modern JavaScript frameworks, particularly React or Next.js with TypeScript. Next, learn to call and stream responses from LLM APIs by shipping a small side project. Then develop familiarity with prompt design, token budgeting, and error handling for non-deterministic model outputs. Contributing to open-source AI UI toolkits or publishing a demo application accelerates hiring conversations significantly.
Can you get hired as a front-end ai engineer with little experience?
Yes, employers do hire candidates with limited professional experience if you can demonstrate practical AI integration skills through personal or open-source projects. Focus on building a working application that calls a real model API, handles streaming output, and manages loading and error states gracefully. A strong GitHub presence with deployed demos often matters more than years of experience for this relatively new role category.
What does the front-end ai engineer interview process look like?
Most processes include an initial screen with a hiring manager, a technical phone or video interview covering JavaScript fundamentals and framework-specific patterns, and a take-home or live coding exercise that requires integrating an LLM API into a small UI. Final rounds typically involve a system design discussion focused on how you would architect a production AI feature, followed by a team-fit conversation with cross-functional stakeholders.
Where can I find and apply to front-end ai engineer jobs?
You can find and apply to front-end ai engineer jobs on Migrate Mate, which lists current openings from companies across the United States. Each listing is applied to directly, so you can move quickly on roles that fit your skills and experience. Find the roles that match below and apply directly to each one.
See All 202+ Front-End AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Front-End AI Engineer Jobs