H-1B Visa AI Developer Jobs
AI Developer roles qualify as H-1B specialty occupations under the computer occupations SOC codes, meaning your employer files the LCA with DOL before USCIS reviews the petition. Most AI Developer positions fall outside the cap-exempt category, so timing your job search around the April filing window matters.
See All AI Developer JobsOverview
Showing 5 of 212+ AI Developer jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 212+ AI Developer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Developer roles.
Get Access To All JobsRole Summary
We are seeking a highly experienced Agentic AI Developer to design, build, evaluate, and optimize complex agentic AI systems for enterprise use cases. This role requires deep hands‑on experience with multi‑agent architectures, strong judgment in model and system design, and the ability to continuously improve AI system performance aligned to business priorities. This is a hands‑on technical leadership role, not an execution‑only developer position.
Key Responsibilities
Agentic AI System Design & Development
- Design and implement complex multi‑agent workflows using frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, or equivalent.
- Architect agent systems that incorporate planning, memory, tool orchestration, feedback loops, and safe control flows.
- Own agent behavior end‑to‑end, from prompt and tool design to runtime execution and iteration.
Evaluation & Performance Optimization
- Define and implement evaluation frameworks for agentic systems, including automated evaluation (e.g., LLM‑as‑judge, metrics) and human‑in‑the‑loop feedback.
- Analyze agent outputs to identify failure modes, inefficiencies, hallucinations, and quality gaps.
- Continuously enhance system performance across accuracy, latency, cost, reliability, and business impact.
Machine Learning & Model Decision‑Making
- Make informed decisions on model selection, architecture, and trade‑offs based on use case, constraints, and business goals.
- Identify model limitations, risks, and loopholes, and proactively mitigate them through design or experimentation.
- Optimize model and system performance based on business priorities, not just technical metrics.
Data & SQL Proficiency
- Use SQL confidently to analyze data, validate outputs, debug issues, and support evaluation and optimization efforts.
- Work independently across data sources without reliance on downstream teams for basic analysis.
Cross‑Functional Collaboration
- Partner closely with product, business, and engineering stakeholders to translate business objectives into robust agentic AI solutions.
- Clearly communicate technical decisions, trade‑offs, and system behavior to both technical and non‑technical audiences.
Required Qualifications
- 8+ years of experience in AI/ML, data science, or backend engineering, with significant hands‑on work in agentic or GenAI systems.
- Proven experience building production‑grade agentic AI systems, not just prototypes or demos.
- Strong understanding of:
- Multi‑agent architectures
- Prompt engineering and agent orchestration
- Evaluation methodologies for LLM and agentic systems
- Demonstrated ability to make independent architectural and model decisions.
- Strong SQL skills for data analysis and debugging.
- Proficiency in Python and modern AI/ML tooling.
Nice to Have
- Experience deploying agentic systems in enterprise or regulated environments.
- Exposure to MLOps, monitoring, and post‑deployment optimization.
- Experience aligning AI system performance with business KPIs.
What This Role Is Not
- Not an entry‑level or learning‑on‑the‑job agentic AI role
- Not an execution‑only LangChain / prompt‑engineering position
- Not a role where architectural decisions are fully prescribed by others
Role Summary
We are seeking a highly experienced Agentic AI Developer to design, build, evaluate, and optimize complex agentic AI systems for enterprise use cases. This role requires deep hands‑on experience with multi‑agent architectures, strong judgment in model and system design, and the ability to continuously improve AI system performance aligned to business priorities. This is a hands‑on technical leadership role, not an execution‑only developer position.
Key Responsibilities
Agentic AI System Design & Development
- Design and implement complex multi‑agent workflows using frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, or equivalent.
- Architect agent systems that incorporate planning, memory, tool orchestration, feedback loops, and safe control flows.
- Own agent behavior end‑to‑end, from prompt and tool design to runtime execution and iteration.
Evaluation & Performance Optimization
- Define and implement evaluation frameworks for agentic systems, including automated evaluation (e.g., LLM‑as‑judge, metrics) and human‑in‑the‑loop feedback.
- Analyze agent outputs to identify failure modes, inefficiencies, hallucinations, and quality gaps.
- Continuously enhance system performance across accuracy, latency, cost, reliability, and business impact.
Machine Learning & Model Decision‑Making
- Make informed decisions on model selection, architecture, and trade‑offs based on use case, constraints, and business goals.
- Identify model limitations, risks, and loopholes, and proactively mitigate them through design or experimentation.
- Optimize model and system performance based on business priorities, not just technical metrics.
Data & SQL Proficiency
- Use SQL confidently to analyze data, validate outputs, debug issues, and support evaluation and optimization efforts.
- Work independently across data sources without reliance on downstream teams for basic analysis.
Cross‑Functional Collaboration
- Partner closely with product, business, and engineering stakeholders to translate business objectives into robust agentic AI solutions.
- Clearly communicate technical decisions, trade‑offs, and system behavior to both technical and non‑technical audiences.
Required Qualifications
- 8+ years of experience in AI/ML, data science, or backend engineering, with significant hands‑on work in agentic or GenAI systems.
- Proven experience building production‑grade agentic AI systems, not just prototypes or demos.
- Strong understanding of:
- Multi‑agent architectures
- Prompt engineering and agent orchestration
- Evaluation methodologies for LLM and agentic systems
- Demonstrated ability to make independent architectural and model decisions.
- Strong SQL skills for data analysis and debugging.
- Proficiency in Python and modern AI/ML tooling.
Nice to Have
- Experience deploying agentic systems in enterprise or regulated environments.
- Exposure to MLOps, monitoring, and post‑deployment optimization.
- Experience aligning AI system performance with business KPIs.
What This Role Is Not
- Not an entry‑level or learning‑on‑the‑job agentic AI role
- Not an execution‑only LangChain / prompt‑engineering position
- Not a role where architectural decisions are fully prescribed by others
See all 212+ AI Developer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Developer roles.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an AI Developer
Map your SOC code before applying
AI Developer roles map to multiple SOC codes depending on whether your work is classified as software development or machine learning research. Pull the O*NET profile for your target title to confirm the code your employer will use on the LCA, since mismatches trigger RFEs.
Verify prevailing wage before salary negotiations
Run your job title, location, and SOC code through the OFLC Wage Search before accepting an offer. The LCA wage must meet or exceed the prevailing wage for your level, and employers can't legally adjust it downward once filed.
Target employers with cap-exempt filing history
Universities, nonprofit research organizations, and government-affiliated entities are cap-exempt, letting them file H-1B petitions year-round. AI research divisions at these institutions hire developers regularly and bypass the annual lottery entirely.
Search H-1B filing history on Migrate Mate
Filter AI Developer roles on Migrate Mate by employers who have filed H-1B LCAs in your specific occupation code. This removes guesswork about sponsorship willingness and surfaces companies with active filing patterns for your exact role type.
Prepare your degree equivalency documentation early
USCIS scrutinizes AI Developer petitions where the degree field doesn't directly match the role. If your degree is in mathematics or physics rather than computer science, get a credential evaluation and collect employer documentation showing the degree is sufficient for the position.
Confirm your employer is E-Verify enrolled before your start date
If you're transitioning from F-1 OPT to H-1B, your employer must be E-Verify enrolled for STEM OPT and must remain enrolled through your cap-gap period. Confirm enrollment status during the offer stage, not after you've already submitted your I-20 extension request.
AI Developer jobs are hiring across the US. Find yours.
Find AI Developer JobsAI Developer H-1B Visa: Frequently Asked Questions
Does an AI Developer role qualify as an H-1B specialty occupation?
Yes. AI Developer positions typically qualify because they require at least a bachelor's degree in computer science, artificial intelligence, or a directly related field. USCIS evaluates specialty occupation on a case-by-case basis, so your employer's job description must clearly tie the degree requirement to the specific duties of the role, not just list it as preferred.
How do I find employers who actively sponsor H-1B visas for AI Developer roles?
Search Migrate Mate for AI Developer positions filtered by employers with verified H-1B LCA filing history in your occupation code. This surfaces companies that have already filed for similar roles, so you're not relying on unverified employer claims about sponsorship willingness during the interview process.
Can I switch AI Developer jobs while on H-1B status?
Yes, under AC21 portability you can change employers after your I-140 has been approved and your H-1B has been pending for 180 days or more, as long as the new role is in the same or similar occupational classification. For most AI Developer moves between employers, your new employer files an H-1B transfer petition and you can start work once USCIS receives it.
What happens to my H-1B status if my AI Developer role is reclassified as a research position?
If your duties shift significantly toward research, your employer may need to file an amended H-1B petition with USCIS reflecting the updated SOC code and job description. A change in duties that affects the specialty occupation classification or prevailing wage level requires an amendment before the change takes effect, not after. Confirm with your employer's immigration contact when a role change is being discussed.
How does the H-1B lottery affect my timeline for starting an AI Developer job?
For cap-subject positions, your employer must submit your registration during the March lottery window, and the earliest an approved H-1B can take effect is October 1 of that fiscal year. If you're on OPT when selected, your cap-gap authorization covers the gap between OPT expiration and October 1, letting you continue working for the same employer without interruption. Roles at cap-exempt institutions have no lottery and no October 1 start constraint.
See which AI Developer employers are hiring and sponsoring visas right now.
Search AI Developer Jobs