Genai Engineer Jobs in USA with Visa Sponsorship
GenAI Engineer roles rank among the most actively sponsored positions in tech right now, with H-1B visa and O-1A visas being the most common pathways. Employers filing LCAs for AI and machine learning roles have grown significantly, and specialty occupation status is well-established for this field. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; looking for a strong agentic AI developer who can build and productionize Vertex AI–based RAG systems (Vertex AI Search / Vertex AI RAG patterns), design reliable tool-using agents, and work comfortably with vector databases and graph databases. You’ll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation, and deployment.
ROLE AND RESPONSIBILITIES
- Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies
- Write clean and efficient code, and ensure code maintainability and reusability
- Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding)
- Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks
- Perform code reviews to ensure code quality and consistency
- Conduct testing to ensure application quality and reliability
- Create and maintain technical documentation for web applications
- Participate in project planning, estimation, and prioritization
- Stay up to date with the latest technologies for Python development
- Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively
- Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices
BASIC QUALIFICATIONS
- Experience in software development in Python3
- Decent understanding of the software development/testing life cycle
- Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc)
- Experience with version control tools, such as Git
- Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design)
- Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns
- Solid knowledge of vector search concepts and at least one vector DB in production
- Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset
PREFERRED QUALIFICATIONS
- Master’s Degree in Computer Science, Software Engineering, or related field
- 1+ year professional experience in Python web application development with either Flask or Django
- Experience in RESTful API development in Python
- Understanding of Python web application frameworks such as Flask or Django
- Experience with Cloud services, such as AWS
- Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud Run/GKE, storage)
- Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion)
- Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval
- Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management
- Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling)
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
INTRODUCTION
BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; looking for a strong agentic AI developer who can build and productionize Vertex AI–based RAG systems (Vertex AI Search / Vertex AI RAG patterns), design reliable tool-using agents, and work comfortably with vector databases and graph databases. You’ll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation, and deployment.
ROLE AND RESPONSIBILITIES
- Collaborate with the team to design and develop high quality Web applications using Python, Flask, Django, and related technologies
- Write clean and efficient code, and ensure code maintainability and reusability
- Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding)
- Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks
- Perform code reviews to ensure code quality and consistency
- Conduct testing to ensure application quality and reliability
- Create and maintain technical documentation for web applications
- Participate in project planning, estimation, and prioritization
- Stay up to date with the latest technologies for Python development
- Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively
- Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices
BASIC QUALIFICATIONS
- Experience in software development in Python3
- Decent understanding of the software development/testing life cycle
- Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc)
- Experience with version control tools, such as Git
- Experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design)
- Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns
- Solid knowledge of vector search concepts and at least one vector DB in production
- Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset
PREFERRED QUALIFICATIONS
- Master’s Degree in Computer Science, Software Engineering, or related field
- 1+ year professional experience in Python web application development with either Flask or Django
- Experience in RESTful API development in Python
- Understanding of Python web application frameworks such as Flask or Django
- Experience with Cloud services, such as AWS
- Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud Run/GKE, storage)
- Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion)
- Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval
- Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management
- Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling)
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
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Get Access To All JobsTips for Finding Visa Sponsorship as a Genai Engineer
Lead with your AI stack, not your job title
Recruiters scanning for sponsored GenAI roles look for specific tools: PyTorch, LangChain, RAG pipelines, fine-tuning workflows. List these prominently on your resume. A generic 'AI Engineer' title with a strong stack gets more callbacks than a polished title with vague skills.
Target companies with active LCA filings in AI
Companies that have filed Labor Condition Applications for AI or machine learning roles in the past 12 months are significantly more likely to sponsor again. Look for patterns in DOL disclosure data. Repeat filers have established legal processes, which means faster, smoother sponsorship for you.
Clarify your visa status early, not at offer stage
Many GenAI hiring managers aren't familiar with visa timelines. Mentioning your status early, framing it as a straightforward process, prevents late-stage deal-breakers. A brief explanation of H-1B or O-1 visa requirements during early conversations sets realistic expectations for both sides.
A degree in CS, ML, or a related field strengthens your case
H-1B specialty occupation requires a degree directly related to the role. For GenAI positions, computer science, electrical engineering, mathematics, or statistics degrees map cleanly. If your degree is in another field, documented experience in machine learning or AI systems becomes especially critical to include.
O-1A is worth exploring if you have recognized AI work
Published research, open-source contributions with significant adoption, speaking at major AI conferences, or high-citation papers can support an O-1A petition. This visa has no lottery and no annual cap, making it a strong alternative for GenAI engineers with a visible track record in the field.
Use Migrate Mate to filter for roles that explicitly sponsor
Most job boards don't surface visa sponsorship availability clearly. Migrate Mate is built specifically to show which GenAI Engineer roles include sponsorship, saving you hours of researching individual companies before applying. Browse open roles filtered by sponsorship status to prioritize where your time goes.
Frequently Asked Questions
Is GenAI Engineer considered a specialty occupation for H-1B purposes?
Yes. GenAI Engineer roles qualify as specialty occupations under H-1B visa standards because they require at minimum a bachelor's degree in a specific technical field, typically computer science, machine learning, mathematics, or a directly related discipline. USCIS has consistently approved H-1B petitions for AI and machine learning engineering roles, and the DOL regularly certifies LCAs for these positions without significant challenge.
How competitive is H-1B sponsorship for GenAI Engineers compared to other tech roles?
GenAI is one of the highest-demand areas in tech right now, which cuts both ways. More companies are willing to sponsor because the talent pool with these specific skills is limited. However, you still face the annual H-1B lottery if you're cap-subject. In FY2025, USCIS selected roughly 25% of registrations. Companies hiring GenAI engineers frequently use cap-exempt routes, such as university research positions or nonprofit affiliations, to bypass the lottery entirely.
Can I qualify for an O-1A visa as a GenAI Engineer?
Yes, if you have demonstrable recognition in the field. Published research in peer-reviewed AI journals, significant open-source contributions, presentations at recognized conferences like NeurIPS or ICML, or employment in a critical role at a leading AI organization can all support an O-1A petition. The O-1A has no lottery and no annual cap, making it a practical alternative for engineers with a visible track record who want to avoid H-1B uncertainty.
What degree do I need for a sponsored GenAI Engineer role?
A bachelor's degree or higher in computer science, electrical engineering, applied mathematics, statistics, or a closely related field satisfies the H-1B specialty occupation requirement for most GenAI Engineer positions. Degrees in unrelated fields create complications. If your degree doesn't align, three years of directly relevant professional experience can substitute for each year of missing education under USCIS equivalency rules, though this requires careful documentation and is scrutinized more closely.
Where can I find GenAI Engineer jobs that offer visa sponsorship?
Most general job boards don't filter by sponsorship availability, so you waste time applying to roles that won't sponsor. Migrate Mate is built specifically for international job seekers and surfaces GenAI Engineer roles where employers have indicated willingness to sponsor. You can browse current openings filtered by sponsorship status, which saves significant time in your search.
What is the prevailing wage requirement for sponsored Genai 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.