AI Product Engineer Jobs
AI Product Engineer jobs are open across technology, fintech, healthtech, and enterprise software, from new-grad to principal and staff levels, with specializations in LLM integration, AI-powered feature development, and model deployment pipelines. Find a role that fits from the openings below and apply directly.
Find AI Product Engineer JobsOverview
Showing 5 of 3,125+ AI Product Engineer jobs











INTRODUCTION
Insurance touches people during some of the most challenging moments in their lives. Hi Marley is on a mission to transform how the P&C industry communicates, making those moments faster, easier, and more empathetic for carriers and the customers they serve. We build AI-powered software that keeps everyone in the claims conversation informed and connected. If you believe insurance can combine operational excellence and automation with a human touch, we'd love to meet you.
As we continue to grow, we're looking for a Principal AI Product Engineer to be a foundational hire on our new AI Operations team. This is an internal-facing role: your job is to build the infrastructure and tools that let every Hi Marley department work together like a beautiful orchestra. That means understanding how data flows through the company and exposing it at the right level for the right audience; designing our internal knowledge systems, the surfaces by which we make decisions, and the patterns by which teams build and design agents; and making the call — over and over — about what should be centralized and what should live with the team. You'll work alongside a Builder — Technical Infrastructure counterpart who owns the deeper technology spine. Together, you're a small team with a very large scope.
The shape of this person is rare: design taste paired with the ability to ship. You live in Claude Code, Codex, and Cursor — you don't just produce mocks, you build the thing. There's a strong product lean to this role too: you'll be taking a steady stream of signals and requests from across Hi Marley, learning how to prioritize, and managing a portfolio of small, well-shaped internal products at once. If that's you, and you want to set the bar for what great internal experience looks like at a modern insurance company, this is the role for you. Teamwork and shared enthusiasm are a core part of our culture, which is why this role involves joining us in the Boston office for 2-3 days each week.
What You'll Do:
- Build the internal operating fabric of Hi Marley: Design and ship the tools every department uses — internal knowledge systems, decision-making surfaces, dashboards, catalogs, agent-builder UIs. The thing you build is what turns Hi Marley into an orchestra rather than a set of soloists.
- Get the data layer right: Understand how data flows across the company — what lives where, what should be centralized, what should stay with the team — and design experiences that expose the right slice to the right audience.
- Design how we build and ship internal agents: Create the surfaces and patterns by which Hi Marley teams compose, register, and trust the agents they author. Discoverable, governable, well-crafted.
- Run a portfolio of small internal products: Take in requests from across the company, prioritize by leverage, sequence the work, and ship. This isn't one big roadmap; it's many small ones, held together with taste.
- Hold the centralized-vs-decentralized balance: One of the harder calls in this role is when a capability belongs to the platform vs. when it belongs to a team. You'll make those calls in collaboration with engineering and ops leadership.
- Partner with the Builder — Technical Infrastructure: They own the platform spine; you own the experience layer on top. You'll be merging each other's PRs.
- Use the tools: You live in Claude Code, Codex, and Cursor (or the next thing if it's better when you read this). You ship at the velocity of a small team because your craft is shaped by agentic coding.
What We're Looking For:
- Hybrid design + engineering chops: You have strong design instincts and you ship production code. You sketch, code, and merge your own PRs — no handoff.
- Modern frontend stack: Strong with React, Next.js, TypeScript, Tailwind, shadcn/ui (or equivalent). Comfortable touching the backend when the boundary is unclear.
- Lives in agentic coding tools: Claude Code, Codex, Cursor — these are your default environment. You don't just "use AI to help"; your craft is shaped by these tools.
- Product instinct, not just craft: You can hold ten internal asks in your head, prioritize by leverage, and ship a coherent portfolio of small, well-shaped products. Comfort with ambiguity and with saying no.
- Taste as a moat: You make UI judgment calls beyond what's in the spec — spacing, motion, information density — because you've internalized why those things matter.
- Systems thinking about data and tools: You think in terms of where data lives, what to centralize vs. decentralize, and how to expose it at the right level. You design with the data architecture in mind, not just the screen.
- Communication and craft: You can present your work to engineers, executives, and customers, and explain why you made a decision in language that matches the audience.
- Bonus — AWS familiarity: Hi Marley is AWS-only (Cognito, Bedrock, CDK). You don't need to be deep here on day one — your infra counterpart owns the spine — but be willing to go deep when needed.
Compensation, Benefits & Perks:
At Hi Marley, we are committed to fair and transparent pay practices. The annual base salary for this role is expected to fall within the range of [$152,000–$283,000], depending on experience, skills, qualifications, and location. Offers are determined based on these factors as well as internal peer equity. It's most common for new hires to start near the midpoint of the range, allowing room for growth as employees develop in their role.
In addition to base pay, we offer a comprehensive total rewards package that supports both your wellbeing and professional growth, including:
- Equity grants for all employees
- A 4% matching 401(k) program
- Medical, dental, vision, disability, and life insurance coverage for employees working 30+ hours per week
- Monthly wellness stipend
- Paid parental leave
- A flexible vacation policy - we all work hard and take time when we need it
Who We Are:
At Hi Marley, our culture is built on three core values that every employee embodies:
- Max Courage – We encourage our team, our customers, and their customers to dream big, try new ideas, and maximize impact by measuring risk.
- Be Humble – We lead with appreciation and promote a culture of humility, compassion, and openness to learn from anyone, anywhere.
- Ubuntu ("I am because we are") – We believe true success is much bigger than any single individual or company. By aligning our individual aims behind a shared purpose, we can achieve our fullest potential — together.
Life at Hi Marley:
Life at Hi Marley is shaped by collaboration, learning, and genuine connection. We're proud to foster an environment where people can do their best work, feel supported, and grow alongside a team that celebrates both individuality and shared purpose.
- A fun, lively startup culture that embraces creativity and innovation
- Core values-based leadership that guides our decision-making and daily interactions
- A culture of engagement, diversity, inclusion, and belonging — everyone's voice matters
- Flexible, hybrid work environment that values balance and trust
- Ample opportunities to learn, take on new challenges, and make an impact in a fast-growing organization
- Meaningful work that directly supports our mission to help people and organizations communicate with empathy and clarity
Hi Marley is proud to be an equal employment opportunity employer. We celebrate diversity and do not discriminate based on gender, sexual orientation, gender identity, religion, race, veteran status, disability status, or any other characteristic protected by applicable law. We are committed to building an inclusive work environment representing a variety of backgrounds, perspectives, and skills, where all employees are encouraged to be their authentic selves.
Hi Marley participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. For more information, please review the documents under "E-Verify Poster" here: https://e-verify.uscis.gov/web/OnlineResources.aspx
See All 3,125+ AI Product Engineer Jobs
Jump back to the full list of openings and apply to any AI product engineer role that fits.
Find AI Product Engineer JobsAI Product Engineer Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Amazon109

- Apple102

- Google101

- NVIDIA82

- Humana59

Top Industries Hiring
- Technology & Software1,278
- Consulting & Professional Services321
- Electronics & Hardware222
- Banking & Financial Services160
- Science & Research112
What Employers Look For
The qualifications that appear most often in AI product engineer jobs.
- Bachelor's or master's degree in computer science, engineering, or a related technical field
- Hands-on experience building and shipping features that integrate large language models or ML APIs
- Proficiency in Python and at least one cloud platform such as AWS, Azure, or Google Cloud
- Familiarity with model evaluation, prompt engineering, and retrieval-augmented generation patterns
- Experience with product development lifecycle including requirements, iteration, and cross-functional collaboration
- Understanding of responsible AI principles, model monitoring, and production reliability practices
Tips for Your AI Product Engineer Job Search
Quantify your AI product impact concretely
Listing model accuracy improvements, latency reductions, or feature adoption rates tells hiring managers far more than naming tools. Pull real numbers from your work, even from side projects, to give reviewers something concrete to evaluate against the job's requirements.
Show the product layer, not just the model
Many candidates document ML work but skip the product decisions behind it. Describe the user problem, the tradeoff you made between model complexity and latency, and the outcome for the product. That framing is exactly what AI product engineering roles reward.
Filter openings by deployment environment
AI product engineer roles split sharply between cloud-native, edge, and embedded environments. Narrowing your search to your deployment stack saves time and keeps your resume relevant. Applying to roles outside your environment without addressing the gap rarely works.
Apply early to roles that fit
Migrate Mate lists ai product engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a live demo for technical screens
AI product engineering interviews frequently include a build-or-extend exercise using a real API or model endpoint. Having a small working project you can walk through and modify in real time shortens your prep time and signals hands-on fluency that a portfolio alone cannot.
Negotiate scope alongside compensation
AI product roles vary enormously in how much ownership you hold over model selection, data pipelines, and roadmap decisions. During offer discussions, clarify exactly which decisions sit with you versus the ML platform or data teams. That scope difference matters as much as title or pay.
AI Product Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most ai product engineers?
The companies hiring the most ai product engineers right now include Amazon, Apple, and Google, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of June 2026. Demand is concentrated in technology platforms, enterprise software, and fintech companies actively embedding AI into their core products.
How many ai product engineer jobs are remote?
About 36% of ai product engineer openings are fully remote or hybrid as of June 2026, reflecting how broadly distributed AI product teams have become. Roles focused on LLM integration and API-layer product work tend to be the most remote-friendly, while positions involving on-device or embedded AI more often require on-site presence.
How do you become an ai product engineer?
Start by building a foundation in software engineering, then layer in machine learning fundamentals through coursework or self-study. Build projects that integrate real model APIs into working product features and document the product decisions behind them. Contributing to open-source AI tooling and earning a cloud provider certification strengthens your profile for technical screening.
Can you get an ai product engineer job with little experience?
Yes, candidates break in by shipping demonstrable AI-integrated projects, even outside formal employment. Roles titled junior AI engineer, AI associate product manager, or ML platform engineer often serve as entry points. Showing that you understand the product layer, not just the model, and that you can own a small feature end to end tends to matter more than years of experience at this level.
What does the ai product engineer interview process look like?
Interviews typically move through a recruiter screen, a technical phone round covering Python and ML fundamentals, and a take-home or live coding exercise involving a real model API or product feature. Final rounds usually include a system design session focused on AI-integrated architecture and a cross-functional conversation about product reasoning and tradeoffs with engineering and product leadership.
Where can I find and apply to ai product engineer jobs?
You can find and apply to ai product engineer jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and target environment, then apply directly to each listing from the page.
See All 3,125+ AI Product Engineer Jobs
Jump back to the full list of openings and apply to any AI product engineer role that fits.
Find AI Product Engineer Jobs