H-1B Visa Llm Engineer Jobs
LLM Engineer roles sit squarely within H-1B specialty occupation requirements, as the position demands at least a bachelor's degree in computer science, AI, or a closely related field. Employers in AI research, cloud infrastructure, and enterprise software regularly file H-1B petitions for this role, making it one of the more active categories in current DOL LCA disclosure data.
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Get Access To All JobsINTRODUCTION
We are looking for a hands-on AI / LLM Engineer to help design and build practical AI-driven solutions within an existing GCP environment. This role will focus on developing real-world use cases using LLMs, RAG architectures, and agentic workflows to enhance internal tools, automation, and data-driven applications.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
- Design and build AI/LLM-based solutions, including RAG pipelines
- Develop and prototype agentic AI workflows for automation and decisioning
- Integrate LLM solutions with existing GCP data platforms (BigQuery, Dataflow)
- Work with structured and unstructured data to enable intelligent retrieval and insights
- Create, test, and optimize prompt engineering strategies
- Collaborate with backend and data engineering teams to embed AI capabilities into applications
BASIC QUALIFICATIONS
Must Haves:
- Experience with AI/ML and LLMs (OpenAI, Vertex AI, or similar)
- Hands-on experience with RAG (Retrieval-Augmented Generation)
- Strong experience with Google Cloud Platform (BigQuery, Dataflow, Vertex AI preferred)
- Experience with AI orchestration tools (LangChain, LlamaIndex, or similar)
- Proficiency in Python (preferred) or backend development
- Experience with APIs and integrating AI into applications
PREFERRED QUALIFICATIONS
Nice to Have:
- Experience building agent-based or multi-step AI workflows
- Familiarity with vector databases (Pinecone, Weaviate, Vertex AI Vector Search)
- Background in backend development (Java/Spring Boot)
- Experience working in data engineering environments
INTRODUCTION
We are looking for a hands-on AI / LLM Engineer to help design and build practical AI-driven solutions within an existing GCP environment. This role will focus on developing real-world use cases using LLMs, RAG architectures, and agentic workflows to enhance internal tools, automation, and data-driven applications.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
- Design and build AI/LLM-based solutions, including RAG pipelines
- Develop and prototype agentic AI workflows for automation and decisioning
- Integrate LLM solutions with existing GCP data platforms (BigQuery, Dataflow)
- Work with structured and unstructured data to enable intelligent retrieval and insights
- Create, test, and optimize prompt engineering strategies
- Collaborate with backend and data engineering teams to embed AI capabilities into applications
BASIC QUALIFICATIONS
Must Haves:
- Experience with AI/ML and LLMs (OpenAI, Vertex AI, or similar)
- Hands-on experience with RAG (Retrieval-Augmented Generation)
- Strong experience with Google Cloud Platform (BigQuery, Dataflow, Vertex AI preferred)
- Experience with AI orchestration tools (LangChain, LlamaIndex, or similar)
- Proficiency in Python (preferred) or backend development
- Experience with APIs and integrating AI into applications
PREFERRED QUALIFICATIONS
Nice to Have:
- Experience building agent-based or multi-step AI workflows
- Familiarity with vector databases (Pinecone, Weaviate, Vertex AI Vector Search)
- Background in backend development (Java/Spring Boot)
- Experience working in data engineering environments
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Llm Engineer
Map your degree to specialty occupation criteria
USCIS evaluates whether your degree field directly relates to LLM engineering. A computer science or AI degree maps cleanly, but if yours is in mathematics or linguistics, document how your coursework supports model training, fine-tuning, or inference optimization work.
Use O*NET to frame your job description
Pull the O*NET occupation profile for Software Developers or AI/ML Engineers before your employer drafts the petition. Align your actual duties with the listed tasks so the specialty occupation argument holds up under USCIS scrutiny without requiring a Request for Evidence.
Target employers with active LCA filing history
Search Migrate Mate to filter companies that have filed Labor Condition Applications for AI and machine learning roles. This confirms the employer already understands the H-1B process and has infrastructure in place to sponsor you without starting from scratch.
Request prevailing wage documentation before signing
Ask your recruiter which DOL wage level the employer intends to certify on the LCA. Use the OFLC Wage Search to verify the level matches your responsibilities. Level I wages on senior LLM engineering roles draw USCIS scrutiny and can delay approval.
File in the April cap window with a clean start date
LLM engineering roles at cap-subject employers require selection in the annual H-1B lottery. If you're on OPT, confirm your cap-gap coverage with your DSO so you can keep working through October 1 without a gap if your petition is approved after your EAD expires.
Prepare model portfolio evidence for RFE defense
USCIS has issued RFEs on AI and ML roles questioning whether they require a specific degree. Compile GitHub repositories, published papers, conference presentations, or internal architecture documents that demonstrate the theoretical depth required for your LLM work.
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Find Llm Engineer JobsLlm Engineer H-1B Visa: Frequently Asked Questions
Does LLM Engineer qualify as a specialty occupation for H-1B purposes?
Yes, provided the role requires at least a bachelor's degree in a directly related field such as computer science, AI, or machine learning. USCIS has increasingly scrutinized AI and ML roles, so the job description must document that the work involves theoretical foundations, not just tool usage or prompt engineering. A well-drafted LCA and support letter are essential.
Which employers regularly sponsor H-1B visas for LLM Engineer roles?
AI research labs, major cloud providers, enterprise software companies, and well-funded AI startups are the most active sponsors. You can browse companies with verified LCA filing history for AI and machine learning roles on Migrate Mate, which surfaces DOL disclosure data so you can see which employers have actually filed petitions for roles like yours.
Can I switch employers as an LLM Engineer while on H-1B status?
Yes, under H-1B portability rules established by AC21, you can start working for a new employer as soon as the new I-129 petition is filed, as long as your previous H-1B was approved and you've maintained valid status. Your new employer must file a fresh LCA with DOL and a new I-129 petition with USCIS before your start date.
How does the H-1B prevailing wage requirement apply to LLM Engineer roles?
Your employer must certify on the LCA that your offered wage meets or exceeds the DOL prevailing wage for your job title, location, and experience level. LLM engineering typically maps to Level II or Level III wages given the technical depth required. You can verify the applicable wage level using the OFLC Wage Search before accepting an offer.
What happens to my H-1B if my employer's LLM project is discontinued?
If your employer terminates your employment, you have a 60-day grace period to find a new sponsoring employer, change status, or depart the U.S. The grace period applies once per authorized validity period. During this time, you can't legally work, but you can interview and have a new employer file an H-1B transfer petition on your behalf.
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