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Ai Product Engineer Jobs (NOW HIRING)

AI Product Engineer

$104K - $136K/yr

Vertex is seeking an AI Product Engineer to design, build, and deliver AI-powered enterprise web applications that create AI-native customer and internal experiences. In this role, you will help ...

Senior AI Product Engineer San Francisco, CA (Hybrid) $192-260K base + Equity We're partnering with a high-growth B2B SaaS business that's investing heavily in AI and looking to hire a Senior AI ...

Senior AI Product Engineer San Francisco, CA (Hybrid) $192-260K base + Equity We're partnering with a high-growth B2B SaaS business that's investing heavily in AI and looking to hire a Senior AI ...

Senior AI Product Engineer San Francisco, CA (Hybrid) $192-260K base + Equity We're partnering with a high-growth B2B SaaS business that's investing heavily in AI and looking to hire a Senior AI ...

Senior AI Product Engineer San Francisco, CA (Hybrid) $192-260K base + Equity We're partnering with a high-growth B2B SaaS business that's investing heavily in AI and looking to hire a Senior AI ...

Senior AI Product Engineer San Francisco, CA (Hybrid) $192-260K base + Equity We're partnering with a high-growth B2B SaaS business that's investing heavily in AI and looking to hire a Senior AI ...

Senior AI Product Engineer San Francisco, CA (Hybrid) $192-260K base + Equity We're partnering with a high-growth B2B SaaS business that's investing heavily in AI and looking to hire a Senior AI ...

Senior AI Product Engineer San Francisco, CA (Hybrid) $192-260K base + Equity We're partnering with a high-growth B2B SaaS business that's investing heavily in AI and looking to hire a Senior AI ...

Senior AI Product Engineer San Francisco, CA (Hybrid) $192-260K base + Equity We're partnering with a high-growth B2B SaaS business that's investing heavily in AI and looking to hire a Senior AI ...

Senior AI Product Engineer San Francisco, CA (Hybrid) $192-260K base + Equity We're partnering with a high-growth B2B SaaS business that's investing heavily in AI and looking to hire a Senior AI ...

Senior AI Product Engineer San Francisco, CA (Hybrid) $192-260K base + Equity We're partnering with a high-growth B2B SaaS business that's investing heavily in AI and looking to hire a Senior AI ...

Senior AI Product Engineer Full Time opportunity in Belmont, CA (100% remote considered) As a Senior AI Product Engineer, you will build and help own our customer-facing real-time 3D positioning ...

AI Product Engineer

New York, NY · On-site

$160K - $260K/yr

Role overview GovWell is hiring our first AI Product Engineer to help turn cutting-edge generative AI technology into practical, user-facing products for government agencies. This role reports ...

About The Role As an AI Product Engineer at Brain Co., you will play a pivotal role in building and deploying state-of-the-art software solutions to automate various real-world problems. You will ...

You are not simply accepting AI-generated code - you review, restructure, and integrate it into cohesive, production-grade systems. * 5+ years of software engineering experience * 2-3+ years of AI ...

Our engineering team operates as empowered, outcome-oriented problem solvers, working in close partnership with product, design, and clinical teams to improve member outcomes at scale. As AI ...

AI Product Engineer

Chicago, IL · On-site +1

$160K - $185K/yr

About The Role As an AI Product Engineer, you will create new products and features end-to-end which directly contribute to G2's key organizational goals. Your responsibilities will center around ...

Our engineering team operates as empowered, outcome-oriented problem solvers, working in close partnership with product, design, and clinical teams to improve member outcomes at scale. As AI ...

Full-Stack Builder • Product-Minded Engineer • Customer-Obsessed Problem Solver Overview: We're looking for an AI Product Engineer who blends the instincts of a product thinker with the execution ...

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Showing results 1-20

Ai Product Engineer information

See salary details

$53K

$144.1K

$205K

How much do ai product engineer jobs pay per year?

As of Jul 10, 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 engineer makes $500,000 a year?

Senior AI Product Engineers or Machine Learning Engineers with extensive experience, advanced skills in deep learning, and a strong track record can earn $500,000 or more annually, especially in high-cost-of-living areas or at leading tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their specialized expertise and impact on product development.

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.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, AI research director, or executive roles like Chief AI Officer, which offer compensation in that range. These roles often require advanced skills in machine learning, deep learning, and experience with large-scale AI systems, along with leadership responsibilities and industry expertise.

How much do AI product engineers make?

AI product engineers typically earn a median salary ranging from $100,000 to $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:
Infographic showing various Ai Product Engineer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $144,072 per year, or $69.3 per hour.
AI Product Engineer

$104K - $136K/yr

Full-time

Re-posted 18 days ago


Job description

Job Description:
Vertex is seeking an AI Product Engineer to design, build, and deliver AI-powered enterprise web applications that create AI-native customer and internal experiences. In this role, you will help define how users interact with intelligent systems to make better decisions, work more efficiently, and scale their impact across the organization. You will own the full AI product lifecycle-from product discovery and UX/UI design to full-stack development and production deployment-turning complex business challenges into intuitive, scalable solutions. The work centers on reimagining workflows with AI, transforming how customers and internal teams operate, make decisions, and achieve business outcomes.
This is a demanding, high-visibility role focused on problems where successful execution matters. The work will require urgency, judgment, and ownership, with direct exposure to leaders across Vertex and responsibility for products expected to create measurable business impact.
Key Responsibilities
  • Develop deep domain expertise in customer and internal workflows, operating like a forward-deployed product engineer who learns the business, users, data, constraints, and decision paths well enough to design AI products that meaningfully change how the work gets done

  • Own the end-to-end lifecycle of AI products, from discovery and UX/UI design through development, deployment, and iteration

  • Design and build enterprise web applications that support multiple user personas, workflows, and permissions

  • Lead product discovery discussions to understand operational processes, user needs, and business constraints

  • Create AI-native product and UX patterns that go beyond traditional software and chat interfaces, including human-in-the-loop review flows, contextual decision support, workflow automation, confidence and escalation experiences, and interfaces for collaborating with intelligent systems

  • Build and ship production-grade full-stack applications integrating GenAI/LLM capabilities

Required Qualifications
  • 0-3 years of experience in AI product engineering, product-design-focused full-stack engineering, or product-focused software roles

  • Experience designing, owning and shipping end-to-end, user-facing applications

  • Hands-on experience integrating generative AI into complex web applications

  • Demonstrated experience with product design in practice, including UX flows, UI decisions, and enterprise workflow design

  • Portfolio required: examples of AI-powered products or systems (GitHub repositories, demos, deployed applications, or case studies)

Preferred Qualifications
  • Experience building AI-powered enterprise products such as internal platforms, SaaS tools, or workflow and decision-support systems

  • Experience designing multi-step, non-linear product experiences for different user personas

  • Familiarity with frontend frameworks and UX tools (e.g., React, Figma)

  • Consulting or customer-facing experience translating business problems into technical solutions

  • Equivalent combination of education, training, and relevant professional experience accepted in lieu of a formal degree

  • Solo-shipping projects through to launch

Other Qualifications
The Winning Way behaviors that all Vertex employees need in order to meet the expectations of each other, our customers, and our partners.
  • Communicate with Clarity - Be clear, concise and actionable. Be relentlessly constructive. Seek and provide meaningful feedback.

  • Act with Urgency - Adopt an agile mentality - frequent iterations, improved speed, resilience. 80/20 rule - better is the enemy of done. Don't spend hours when minutes are enough.

  • Work with Purpose - Exhibit a "We Can" mindset. Results outweigh effort. Everyone understands how their role contributes. Set aside personal objectives for team results.

  • Drive to Decision - Cut the swirl with defined deadlines and decision points. Be clear on individual accountability and decision authority. Guided by a commitment to and accountability for customer outcomes.

  • Own the Outcome - Defined milestones, commitments and intended results. Assess your work in context, if you're unsure, ask. Demonstrate unwavering support for decisions.

Pay Transparency Statement:
US Base Salary Range: $104,900.00 - $136,400.00
Base pay offered to new hires may vary based upon factors including relevant industry and job-related skills and experience, geographic location, and business needs.* The range displayed does not encompass the full potential of the role, which allows for further growth and career progression.
In addition, as a part of our total compensation package, this role may be eligible for the Vertex Bonus Plan (VOB), a role-specific sales commission/bonus, and/or equity grants.
Learn more about Life at Vertex and connect with your recruiter for more details regarding Vertex's compensation and benefit programs.
*In no case will your pay fall below applicable local minimum wage requirements.