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Ai Product Engineer Jobs (NOW HIRING)

The bar is high: the product has to feel polished, fast, and obviously better than the alternatives, on every surface. Example projects include... * Rethinking email, calendar, and contacts as AI ...

AI Product Engineer

New York, NY ยท On-site

$225K - $300K/yr

The bar is high: the product has to feel polished, fast, and obviously better than the alternatives, on every surface. Example projects include... * Rethinking email, calendar, and contacts as AI ...

AI Product Engineer

Austin, TX ยท On-site

$80K - $95K/yr

By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data ...

The Role We are hiring a Senior AI Product Engineer to design and build the product experiences that make Arkero feel magical to the people who use it every day. You live at the intersection of ...

About the Role Nscale is looking for a Staff AI Product Engineer to drive technical direction across the AI product domain. Working across 2-4 teams, you'll set architectural standards, resolve ...

Founding AI Product Engineer

San Francisco, CA ยท On-site

$200K - $250K/yr

The role We are hiring a Founding AI Product Engineer to work directly with the founders on that next product. This is a high-ownership role for someone who can ship quickly, talk to users, gather ...

Product Engineer LiteLLM is the world's most popular AI Gateway, trusted by companies like Adobe, Netflix, and NASA. We're building the next generation of infrastructure for AI applications--and now ...

Product Engineer LiteLLM is the world's most popular AI Gateway, trusted by companies like Adobe, Netflix, and NASA. We're building the next generation of infrastructure for AI applications--and now ...

As a Senior AI Product Engineer, you will: * Work closely with the founding team to design and build the world's best management training solution, powered by state-of-the-art AI models. * Own ...

We're looking for someone who can identify customer problems, design products people genuinely need, and use AI to build them faster than a traditional engineering team ever could. You'll work ...

... and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital ... AI spend at serious engineering orgs is exploding, one company burned its entire annual AI budget ...

You will be a part of the core team that drives product innovation at Arize. You will be challenged with understanding how some of the most impactful engineering teams are developing AI and LLM ...

You will be a part of the core team that drives product innovation at Arize. You will be challenged with understanding how some of the most impactful engineering teams are developing AI and LLM ...

Showing results 41-60

Ai Product Engineer information

See salary details

$53K

$144.1K

$205K

How much do ai product engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for ai product engineer in the United States is $144,072.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $205,000.00 per year, depending on experience, location, and employer.

What is the difference between Ai Product Engineer vs Data Scientist?

AspectAi Product EngineerData Scientist
CredentialsDegree in Computer Science, AI, or related fields; experience with machine learning frameworksDegree in Statistics, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI products, collaborates with engineering teams, focuses on deploymentAnalyzes data, builds models, provides insights for decision-making
Industry UsageTech companies, AI startups, product-focused organizationsResearch institutions, analytics firms, tech companies

While both roles involve working with data and AI, Ai Product Engineers focus on developing and deploying AI-powered products, whereas Data Scientists primarily analyze data and build models to inform business decisions. The roles often overlap but differ in their core focus and responsibilities.

How much do AI product engineers make?

AI product engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and data science can earn higher salaries, often exceeding $180,000 per year.

What is an AI product engineer?

An AI product engineer designs, develops, and maintains AI-powered products and systems. They combine skills in software engineering, machine learning, and data analysis to create solutions that incorporate artificial intelligence, often working with tools like Python, TensorFlow, or PyTorch. This role requires understanding both AI algorithms and product development processes to deliver functional and scalable AI applications.
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Infographic showing various Ai Product Engineer job openings in the United States as of September 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $144,072 per year, or $69.3 per hour.

Senior AI Product Engineer

San Francisco, CA โ€ข On-site

Other

Re-posted 9 days ago


Job description

San Francisco, United States | Posted on 07/24/2026

AI Talent Now, LLC is a powerhouse in direct-hire talent acquisition, connecting exceptional talent with industry-leading organizations across IT, Engineering, Financial Services & Fintech, and Manufacturing & Robotics. Headquartered in Atlanta, Georgia, we proudly serve clients and candidates nationwide.

Job Description

AI Talent Now job # Senior AI Product Engineer(ZR_95_JOB)

Our San Franisco based client is building the next generation prompt-to-edit platform for video creators. Their mission is to make content creation fast, accessible, and collaborative. In doing so, they enable everyone to share their story online.

They have two products:

  • K AI: A prompt-first AI editing companion that helps creators refine visual content.
  • K Studio: An online video editor that is collaborative, powerful, and easy to use. Millions of creators every month choose Kapwing to tell their story and bring their ideas to life.

This dynamic company turns video editing, traditionally a heavyweight, time-consuming workflow, into a joyful, collaborative experience. We believe that we can use technology to augment the video editing and content creation experience, and we've already started on this path with a wide array of templates, plugins, and new pipelines for combining tooling with the best AI models.

Join them on their journey to democratize creative tools and invent the future stack of video creation!

What youโ€™ll do

Define, build, and launch full-stack features (React, Node, and Python) for one of the world's most popular cloud-based video editors.

Design, test, and implement LLM powered pipelines to automate away tedious parts of visual design and video editing.

Prototype and test new technologies and generative models to evaluate quality, revise prompts, and improve performance.

Test new features, monitor releases, and mitigate risk.

Investigate and prototype new technologies and build applications on top of ML-powered APIs

Implement new features and improvements to Kapwingโ€™s Studio and other core products

Partner with product and growth to reach new creators and sell to creative enterprises.

RequirementsRole requirements

Seniority

4 - 8 years of experience of production-level full-stack software engineering experience.

Has shipped LLM-powered features to real end users in production (not research, not side projects).

Has owned the evaluation stack for a non-deterministic AI system end-to-end (can explain how they knew B was better than A).

Experience building and shipping web applications (not looking for engineers who have worked on primarily mobile or native apps).

Experience with video engineering (FFM PEG, processing, uploads).

Education

CS or equivalent technical degree from a US-based university.

Strong React and TypeScript proficiency.

Experience with tool-calling, context management, and agent architectures

Demonstrable career progression (e.g., promoted from mid to senior/staff within a single company).

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