Software Engineer AI Visa Sponsorship Jobs in New York
New York is one of the top states for software engineer AI visa sponsorship, with major employers like Google, Amazon, Microsoft, and a dense cluster of AI-focused startups concentrated in Manhattan and Brooklyn. The city's financial sector, media companies, and research institutions also drive steady demand for AI engineering talent requiring H-1B visa and other work visa sponsorship.
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INTRODUCTION
Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?
ABOUT THE ROLE
Flex is looking for a Staff AI Engineer to join our AI Central Team and help us transform the way we work by building the tools and capabilities that support AI-first workflows across Flex.
As a Staff AI Engineer at Flex, you’ll help set technical direction and shape the long-term architecture of the AI systems and tools that all departments use to power their agentic workflows. You will own AI platform features and capabilities end-to-end including analysis, planning, implementation and production rollout to our internal customers. You’ll work closely with your AI Central Team peers and consult with department leads to anticipate business needs and proactively build the AI capabilities to address them. You’ll also play a critical role in mentoring, elevating technical standards, and ensuring the success of our Flex’s transformation into an AI-first organization.
WHAT YOU’LL DO
- Design, implement, and maintain the agent platform including orchestration, tool execution, sandboxed code runtimes, observability, and the developer-facing SDKs and UI.
- Design and develop new APIs, SDKs, and developer surfaces that let other teams onboard agents quickly and safely, with strong defaults for evals, guardrails, human-in-the-loop review, and audit.
- Scale the platform to support a growing catalog of agents, skills, and MCP integrations across Flex while maintaining performance, reliability, and cost efficiency.
- Continuously improve our daily operations with automation, tooling, design evolution, and observability, including agent-trace visibility, evaluation pipelines, and sandbox runtime monitoring.
- Work closely with cross-functional teams to identify high-leverage AI use cases and turn them into production-ready agents on the platform.
- Set the bar for AI-assisted engineering practices and responsible AI use across Flex, mentor engineers on how to design, build, and operate agentic systems, and bring outside innovation back into our roadmap.
KEY QUALIFICATIONS
Skills that are required:
- 6+ years of experience in software development or a related field, with at least 2+ years building production AI or agentic systems.
- Experience in technical leadership, guiding engineering teams through complex projects.
- Hands-on experience with coding CLIs and AI dev tools (Claude Code, Codex, OpenCode, Cursor, or equivalents) - both as a daily-driver user and as a builder integrating them into team workflows.
- Experience with agent infrastructure and code-execution sandboxes (Modal, E2B, Cloudflare Sandboxes, Daytona, or Firecracker/gVisor-based runtimes), with a clear point of view on isolation, scaling, and cost trade-offs.
- Experience building AI-first workflows end-to-end, including LLM application design, prompt and context engineering, RAG, and human-in-the-loop patterns.
- Experience creating and managing agents and agent platforms, including multi-agent orchestration (LangGraph, custom planners, sub-agent patterns), tool/skill registries, and MCP-based integrations.
- Experience with eval frameworks and offline/online evaluation of agent quality, plus observability and tracing for non-deterministic systems.
- Experience with Java, Python, Golang, or TypeScript/Node.js.
- Strong experience with relational SQL and NoSQL databases, such as MySQL/PostgreSQL/DynamoDB.
- Experience designing and developing fault-tolerant and scalable distributed systems, including workflow and job-orchestration engines.
- Experience with AWS cloud services: ECS/EKS, Lambda, API Gateway, VPC, RDS, etc.
- Infrastructure as code (AWS CLI, AWS CDK/Terraform).
- Strong communication skills with the ability to understand and explain technical issues to a non-technical audience.
- Follow engineering best practices as well as propose new ones - especially around responsible AI use, guardrails, and security for agentic systems.
- Bonus: experience with model and prompt evaluation tooling, secure tool-use sandboxing, retrieval and vector stores, and operating multi-tenant AI platforms at scale.
Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be commensurate with their experience, qualifications, and Flex’s internal leveling guidelines and benchmarks.
- Tier A (NYC/SF/Seattle): $200,000—$250,000 USD
- Tier B: $180,000—$225,000 USD
- Tier C: $170,000—$212,000 USD
LIFE AT FLEX
We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self-aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace.
OFFICES
Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.
BENEFITS
For full-time U.S. employees we offer:
- Competitive medical, dental, and vision
- Company equity
- 401(k) plan with company match
- Unlimited paid time off + 13 company paid holidays
- Parental leave
- Flex Cares Program: Non-profit company match + pet adoption coverage
- Free Flex subscription
For full-time non-U.S. employees, we offer:
- Competitive compensation + company equity
- Unlimited PTO
Software Engineer AI Job Roles in New York
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Search Software Engineer AI Jobs in New YorkSoftware Engineer AI Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for software engineers in AI roles in New York?
Large tech companies with significant New York offices, including Google, Amazon, Microsoft, and IBM, are among the most active H-1B sponsors for AI engineering roles. Financial institutions like JPMorgan Chase and Goldman Sachs also hire AI engineers with visa sponsorship. Beyond that, New York's growing AI startup ecosystem, particularly in Manhattan's Flatiron District and Brooklyn, includes employers that regularly file H-1B petitions for specialized engineering talent.
Which visa types are most common for software engineer AI roles in New York?
The H-1B is the most common visa for AI software engineers in New York, as these roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, machine learning, or a related field. Candidates with extraordinary ability in AI research may qualify for the O-1A. Recent graduates on F-1 status often work under OPT or STEM OPT before transitioning to H-1B sponsorship. Multinational employees may also use the L-1B for specialized knowledge transfers.
How to find software engineer ai visa sponsorship jobs in New York?
Migrate Mate is built specifically for international candidates searching for visa sponsorship roles, and it lets you filter by both role and state, making it straightforward to browse software engineer AI jobs in New York where employers have a documented history of sponsoring work visas. Because sponsorship willingness is screened into the listings, you avoid the common frustration of applying to roles where it is never offered.
Which cities in New York have the most software engineer AI sponsorship jobs?
New York City accounts for the overwhelming majority of AI engineering sponsorship positions in the state, with Manhattan, Brooklyn, and Long Island City each hosting significant concentrations of tech employers. Midtown and the Flatiron District are particularly dense with both established tech firms and AI-focused startups. Outside the city, Albany and Buffalo have emerging tech sectors, but sponsorship volume there is substantially lower compared to the metro area.
Are there any New York-specific considerations for AI software engineers seeking visa sponsorship?
New York's Department of Labor prevailing wage determinations apply to H-1B Labor Condition Applications filed for positions in the state, and AI engineering roles typically fall into higher wage levels given the specialized skills involved. New York is also home to strong university pipelines from Columbia, NYU, and Cornell Tech, which means employers are accustomed to sponsoring international graduates. The city's competitive hiring market means sponsorship is more normalized here than in many other states, though it is never guaranteed.
What is the prevailing wage for sponsored software engineer ai jobs in New York?
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.