AI Product Engineer Jobs in USA with Visa Sponsorship
AI Product Engineers are strong H-1B candidates, the role requires a computer science or engineering degree and sits squarely within USCIS specialty occupation criteria. Employers at AI-focused startups and established tech companies regularly sponsor H-1B, O-1, and L-1 visas for this title. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
Samba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights.
Join our AI Task Force to build production AI systems that improve how we develop software and work with data. You’ll design and ship autonomous agents, tool harnesses, and intelligent workflows that solve real problems for our teams.
A core part of this role is working closely with internal teams—understanding their workflows, identifying where agents can help, and building solutions tailored to their needs. You’ll need to think critically about how LLMs actually work, what they’re good at, and where they fall short.
Our team builds with Claude Code, Cursor, and other AI-assisted development tools daily—you should be deeply comfortable in these environments and excited to push them further.
ROLE AND RESPONSIBILITIES
- 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
BASIC QUALIFICATIONS
- 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
COMPENSATION
- Salary Range: $150,000 - $200,000 a year
Samba TV expects to offer a base salary between $150,000 - $200,000 per year for roles to be performed in New York or California; actual base salary offered will depend on various factors, including but not limited to, location, experience, and performance. Base salary is just one component of Samba TV’s total compensation package for employees. Other rewards may include bonuses, short-term incentives, and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.
LOCATION
San Francisco, California
Samba TV 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 TV may collect personal information directly from you, as a job applicant, Samba TV 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.
INTRODUCTION
Samba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights.
Join our AI Task Force to build production AI systems that improve how we develop software and work with data. You’ll design and ship autonomous agents, tool harnesses, and intelligent workflows that solve real problems for our teams.
A core part of this role is working closely with internal teams—understanding their workflows, identifying where agents can help, and building solutions tailored to their needs. You’ll need to think critically about how LLMs actually work, what they’re good at, and where they fall short.
Our team builds with Claude Code, Cursor, and other AI-assisted development tools daily—you should be deeply comfortable in these environments and excited to push them further.
ROLE AND RESPONSIBILITIES
- 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
BASIC QUALIFICATIONS
- 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
COMPENSATION
- Salary Range: $150,000 - $200,000 a year
Samba TV expects to offer a base salary between $150,000 - $200,000 per year for roles to be performed in New York or California; actual base salary offered will depend on various factors, including but not limited to, location, experience, and performance. Base salary is just one component of Samba TV’s total compensation package for employees. Other rewards may include bonuses, short-term incentives, and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.
LOCATION
San Francisco, California
Samba TV 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 TV may collect personal information directly from you, as a job applicant, Samba TV 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.
How to Get Visa Sponsorship as an AI Product Engineer
Target AI-native companies first
Companies building AI products as their core business, not as a side initiative, file more LCAs for this title and have established sponsorship pipelines. Their legal teams already know the H-1B process, which reduces friction and delays for new hires.
Align your degree field to the role
USCIS requires a direct relationship between your degree and the job. Computer science, software engineering, and machine learning degrees map cleanly. A business degree, even with a technical minor, may trigger an RFE for this specialty occupation title.
Document your AI-specific experience before interviews
Prepare a concise summary of your product contributions: models you've shipped, inference infrastructure you've built, and measurable outcomes. Employers assessing sponsorship risk want evidence you can contribute immediately, which shortens internal approval timelines.
O-1A is a realistic alternative for experienced engineers
If you have published research, patents, open-source projects with significant adoption, or a track record of leading AI initiatives, the O-1A visa bypasses the lottery entirely. Immigration counsel can assess your qualifications based on documented achievements.
Clarify sponsorship scope before accepting an offer
Some employers will file an H-1B petition but won't cover premium processing or legal fees. Others offer full sponsorship through green card. Ask specifically what's included so you can evaluate the offer with complete information before signing.
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Get Access To All JobsFrequently Asked Questions
Does AI Product Engineer qualify as a specialty occupation for H-1B purposes?
Yes. USCIS consistently approves H-1B petitions for AI Product Engineer roles when the position requires a bachelor's degree or higher in computer science, software engineering, or a closely related field. The key is that the job description must demonstrate the degree is a minimum requirement, not a preference. Generic language like 'degree preferred' rather than 'degree required' has triggered RFEs in this category, so the offer letter and LCA documentation matter significantly.
Which visa types do employers commonly use to sponsor AI Product Engineers?
H-1B is the most common path, particularly for candidates already in the U.S. on F-1 OPT or STEM OPT. O-1A is increasingly viable for engineers with notable research publications, patents, or open-source contributions that demonstrate extraordinary ability. L-1B works for engineers transferring from a foreign office of the same company. Candidates from Australia may also qualify for the E-3, which has no lottery and significantly faster processing.
What degree field do I need to get sponsored as an AI Product Engineer?
Computer science, software engineering, electrical engineering, or machine learning are the most defensible degree fields for this title. Data science degrees are generally accepted. A degree in a non-technical field, even with extensive self-taught experience, creates sponsorship risk because USCIS evaluates the formal credential, not practical skill. If your degree field is adjacent rather than direct, a credential evaluation and employment history letter from an expert witness can strengthen the petition.
Are AI Product Engineer roles harder to get sponsored for at startups versus large tech companies?
Large companies have dedicated immigration teams and established H-1B processes, which makes the internal approval faster and the petition more polished. Early-stage startups often sponsor successfully too, but they may lack prior LCA filings, which USCIS treats as a neutral factor, not a negative one. The real risk at startups is financial stability: USCIS scrutinizes whether the employer can pay the prevailing wage for the full petition period. Series A and later-stage startups with clear funding runway typically sponsor without difficulty.
Where can I find AI Product Engineer roles that offer visa sponsorship?
Migrate Mate lists AI Product Engineer positions from employers who have confirmed they sponsor work visas, so you're not filtering through hundreds of roles that don't apply to your situation. The platform is built specifically for international candidates, which means job listings surface sponsorship details that generic job boards omit. Browsing by role title on Migrate Mate shows you which companies are actively hiring and willing to sponsor right now.
What is the prevailing wage requirement for sponsored AI Product Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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