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Ai Product Engineer Jobs (NOW HIRING)

Samba

AI Product Engineer

San Francisco, CA · On-site

$150K - $200K/yr

Optimize LLM costs and performance through prompt engineering, caching, and smart model selection WHO YOU ARE * You've built AI agents and shipped them to production--not just prototypes * You've ...

Govwell

AI Product Engineer

New York, NY · On-site

$160K - $260K/yr

GovWell is hiring AI Product Engineers to grow our AI product line beyond AutoCheck and the AI Community Assistant. You'll work across both existing products - closing reliability gaps and expanding ...

CHG Healthcare

AI Product Engineer

Salt Lake City, UT · On-site

$193K/yr

As our Founding AI Product Engineer, you will identify where AI can measurably improve how CareerMD operates and how its users experience the product. The early work is most likely internal, starting ...

Samba

AI Product Engineer

San Francisco, CA

$150K - $200K/yr

Optimize LLM costs and performance through prompt engineering, caching, and smart model selection WHO YOU ARE * You've built AI agents and shipped them to production-not just prototypes * You've ...

Crux Climate

AI Product Engineer

We're hiring our first AI Product Engineer to work hand-in-hand with customers, product, commercial, and legal teams to reimagine the way transactions happen in clean energy finance, starting with ...

Samba

AI Product Engineer

San Francisco, CA · On-site

$150K - $200K/yr

Optimize LLM costs and performance through prompt engineering, caching, and smart model selection WHO YOU ARE * You've built AI agents and shipped them to production-not just prototypes * You've ...

Arize AI

Senior AI Product Engineer, Fullstack

The Senior AI Product Engineer will be part of the Fullstack Engineering team, responsible for developing scalable services and intuitive frontend applications, primarily using TypeScript and React.

Speak

AI Product Engineer

San Francisco, CA · On-site

$150K - $280K/yr

About this role As an AI Product Engineer at Speak, you'll play a pivotal role in developing the future of language learning and creating the most effective path to language fluency. Your primary ...

AI Talent Now

Senior AI Product Engineer

San Francisco, CA · On-site

$150 - $200/hr

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 ...

Loop AI

Staff AI Product Engineer

San Francisco, CA · On-site

The Staff AI Product Engineer will own a broad technical scope, designing and scaling features across the full product stack while collaborating with cross-functional teams to deliver impactful ...

Town.com, Inc

AI Product Engineer

San Francisco, CA · On-site

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 ...

Town.com, Inc

AI Product Engineer

New York, NY · 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 ...

Loop AI

Staff AI Product Engineer

Manhattan, NY · On-site

The Staff AI Product Engineer will own a broad technical scope, designing and scaling features across the full product stack while collaborating with cross-functional teams to deliver impactful ...

Loop AI

Staff AI Product Engineer

Manhattan, NY · On-site

The Staff AI Product Engineer will own a broad technical scope, leading the design, build, and scaling of features across the full product stack, while collaborating with cross-functional teams to ...

Loop AI

Staff AI Product Engineer

San Francisco, CA · On-site

$200K - $300K/yr

As a Staff Product Engineer, you will own a broad technical scope spanning frontend, backend, and AI systems. You'll design, build, and scale features across the full product stack -- from user ...

Garuda Ventures

Senior AI Product Engineer

Irvine, CA · On-site

$120 - $160/hr

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 ...

Sogeti

AI Product Engineer

Austin, TX · 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 ...

Loop AI

Staff AI Product Engineer

New York, NY · On-site

$200K - $300K/yr

As a Staff Product Engineer, you will own a broad technical scope spanning frontend, backend, and AI systems. You'll design, build, and scale features across the full product stack -- from user ...

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Showing results 41-60

All JobsAi Product Engineer Jobs

Ai Product Engineer information

See salary details

$53K

$144.1K

$205K

How much do ai product engineer jobs pay per year?

As of Aug 11, 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.
More about Ai Product Engineer jobs
What cities are hiring for Ai Product Engineer jobs? Cities with the most Ai Product Engineer job openings:
What states have the most Ai Product Engineer jobs? States with the most job openings for Ai Product Engineer jobs include:
What job categories do people searching Ai Product Engineer jobs look for? The top searched job categories for Ai Product Engineer jobs are:
Ai Product Engineer jobs near you
Infographic showing various Ai Product Engineer job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $144,072 per year, or $69.3 per hour.

AI Product Engineer

Samba

San Francisco, CA • On-site

$150K - $200K/yr

Full-time

Re-posted 27 days ago

Job description

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant. 
WHAT YOU'LL DO

  • Build and deploy AI agents using modern agent SDKs (Claude, OpenAI, or similar) with custom tools and function calling

  • Design and build tool harnesses and execution environments for agents—both on desktop (local CLI, IDE integrations) and in the cloud (containerized, API-driven)

  • Partner with internal teams across the organization to understand their workflows, identify automation opportunities, and build agents tailored to their use cases

  • Think critically about LLM capabilities and limitations—understand the differences between models, when to use which, and how to get the best results from each

  • Develop context engineering strategies—understanding how to give LLMs the right information at the right time within token limits

  • Build and maintain custom tool libraries that agents can use to interact with internal systems, APIs, and data sources

  • Deploy and manage agents in cloud environments with proper monitoring, error handling, and cost controls

  • Optimize LLM costs and performance through prompt engineering, caching, and smart model selection

WHO YOU ARE
  • You’ve built AI agents and shipped them to production—not just prototypes

  • You’ve deployed agents in cloud environments and dealt with the real-world challenges that come with it

  • You’ve built tools, harnesses, or scaffolding that agents use to accomplish tasks

  • You use Claude Code and Cursor daily—you’re deeply comfortable with AI-assisted development, including headless mode, multi-file editing, and MCP server integration

  • You think critically about LLMs—you understand how they work under the hood, not just how to call an API
  • You understand the differences between models (Claude, GPT, Gemini, open-source) and can reason about which to use for a given task
  • You have strong product sense—you focus on what users actually need, not just what’s technically interesting
  • You’re pragmatic—you ship 80% solutions quickly and iterate based on feedback
  • You can sit with a non-technical team, understand their pain points, and translate that into an agent that actually helps
  • You take ownership and drive things from idea to measurable impact
  • You communicate clearly—you can explain complex AI systems to anyone in the company
  • You stay current with the rapidly evolving AI landscape and bring new ideas to the team
  • You’re comfortable working across cloud platforms (GCP, AWS, Azure) and containerized environments
  • Experience with advanced agent patterns or multi-agent systems
  • Experience building and configuring MCP (Model Context Protocol) servers
  • Open-source contributions to AI/ML projects
  • Familiarity with observability tools for LLM applications
  • Media, ad tech, or streaming data domain knowledge
Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.  We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
 
Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.