STEM OPT Llm Engineer Jobs
LLM Engineer roles in machine learning and natural language processing qualify for STEM OPT's 24-month extension when your degree is in computer science, data science, or a related STEM field. Your employer must be enrolled in E-Verify to hire you on STEM OPT, and you'll train under a formal I-983 plan tied to your engineering work.
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Get Access To All JobsINTRODUCTION
We are looking for a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems that can reason, plan, and act autonomously. The role requires strong Python engineering expertise and hands-on experience with modern agent frameworks, along with a solid understanding of data platforms and scalable architectures.
ROLE
Key Responsibilities
Agent & AI System Development:
- Design and build agent-based systems using frameworks such as LangChain, LangGraph, or similar
- Develop intelligent components capable of reasoning, planning, and executing tasks autonomously
- Implement advanced cognitive patterns such as ReAct (Reasoning + Acting)
LLM Capabilities & Enhancements:
- Develop and integrate memory, tool usage, and context management capabilities (MCP)
- Build systems that leverage tool calling, chaining, and orchestration of LLM workflows
- Collaborate with prompt engineers to enhance model responses and performance
Engineering & Development:
- Write high-quality, scalable code using Python (including async programming)
- Build and maintain APIs and microservices for AI/agent-based applications
- Ensure systems are efficient, reliable, and production-ready
Guardrails & Responsible AI:
- Design and implement guardrails and safety mechanisms for LLM-driven systems
- Ensure robust handling of edge cases, failure scenarios, and unintended outputs
Data & Platform Integration:
- Work with modern data platforms such as:
- Snowflake
- Databricks
- Lakehouse architectures
- Integrate AI solutions with enterprise data pipelines and systems
BASIC QUALIFICATIONS
Qualifications: BACHELOR OF COMPUTER SCIENCE
PREFERRED QUALIFICATIONS
Desired Skills: Artificial Intelligence | Python
COMPENSATION
- Salary Range: $120,000-$130,000 a year
LOCATION
Location: New York, NY
TCS Employee Benefits Summary:
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- Family Support: Maternal & Parental Leaves.
- Insurance Options: Auto & Home Insurance, Identity Theft Protection.
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
- Time Off: Vacation, Time Off, Sick Leave & Holidays.
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
INTRODUCTION
We are looking for a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems that can reason, plan, and act autonomously. The role requires strong Python engineering expertise and hands-on experience with modern agent frameworks, along with a solid understanding of data platforms and scalable architectures.
ROLE
Key Responsibilities
Agent & AI System Development:
- Design and build agent-based systems using frameworks such as LangChain, LangGraph, or similar
- Develop intelligent components capable of reasoning, planning, and executing tasks autonomously
- Implement advanced cognitive patterns such as ReAct (Reasoning + Acting)
LLM Capabilities & Enhancements:
- Develop and integrate memory, tool usage, and context management capabilities (MCP)
- Build systems that leverage tool calling, chaining, and orchestration of LLM workflows
- Collaborate with prompt engineers to enhance model responses and performance
Engineering & Development:
- Write high-quality, scalable code using Python (including async programming)
- Build and maintain APIs and microservices for AI/agent-based applications
- Ensure systems are efficient, reliable, and production-ready
Guardrails & Responsible AI:
- Design and implement guardrails and safety mechanisms for LLM-driven systems
- Ensure robust handling of edge cases, failure scenarios, and unintended outputs
Data & Platform Integration:
- Work with modern data platforms such as:
- Snowflake
- Databricks
- Lakehouse architectures
- Integrate AI solutions with enterprise data pipelines and systems
BASIC QUALIFICATIONS
Qualifications: BACHELOR OF COMPUTER SCIENCE
PREFERRED QUALIFICATIONS
Desired Skills: Artificial Intelligence | Python
COMPENSATION
- Salary Range: $120,000-$130,000 a year
LOCATION
Location: New York, NY
TCS Employee Benefits Summary:
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- Family Support: Maternal & Parental Leaves.
- Insurance Options: Auto & Home Insurance, Identity Theft Protection.
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
- Time Off: Vacation, Time Off, Sick Leave & Holidays.
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
See all STEM OPT Llm Engineer Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Llm Engineer
Verify your CIP code matches LLM roles
Check your degree's Classification of Instructional Programs code against STEM-designated CIP codes before applying. Computer science, electrical engineering, and data science codes typically qualify, but applied mathematics or information systems degrees vary by institution.
Confirm E-Verify enrollment before accepting offers
Ask your recruiter directly whether the company is enrolled in E-Verify before you reach the offer stage. Hiring managers at AI startups often don't know their E-Verify status, so verify through the official E-Verify employer search rather than taking their word for it.
Align your I-983 training plan to model deployment tasks
Your I-983 must connect your STEM degree to specific LLM engineering responsibilities. List concrete learning objectives tied to model fine-tuning, inference optimization, or RAG pipeline development so your DSO can certify the plan without revision requests.
Target AI labs and cloud platform teams at E-Verify employers
Use Migrate Mate to filter LLM Engineer roles by employers with confirmed E-Verify enrollment. AI research divisions at large cloud providers and well-funded AI startups that have completed Series B rounds or later are the most consistent sources of STEM OPT-compatible offers.
File your STEM OPT extension 90 days before OPT expires
USCIS requires your I-765 extension application to be received before your current EAD expires. Filing exactly 90 days early protects your work authorization gap if USCIS processing runs long, and your DSO must update SEVIS before you can submit.
Use OFLC Wage Search to benchmark your offer against prevailing wages
LLM Engineer roles map to SOC codes in computer occupations. Pull the prevailing wage for your specific job title and metro area using OFLC Wage Search before negotiating, so you can identify whether an offer reflects a legitimate rate for your work location.
Frequently Asked Questions
Does an LLM Engineer role qualify for the STEM OPT extension?
LLM Engineer positions typically qualify when your degree is in computer science, data science, electrical engineering, or another STEM-designated field. The role itself must also relate directly to your degree under the I-983 training plan your DSO certifies. Review your degree's CIP code against the official STEM-designated degree program list maintained by DHS to confirm eligibility before applying.
How do I find LLM Engineer jobs where the employer is E-Verify enrolled?
Migrate Mate filters LLM Engineer roles by employers with confirmed E-Verify enrollment, so you're not wasting applications on companies that can't legally hire STEM OPT students. You can also cross-check any employer directly through the E-Verify employer search tool. Don't rely on a recruiter's verbal confirmation since enrollment status can lapse or was never established.
What should my I-983 training plan say for an LLM Engineer position?
Your I-983 must describe how the work directly applies knowledge from your STEM degree. For LLM engineering, that means listing specific training goals such as fine-tuning transformer models, building retrieval-augmented generation pipelines, or optimizing inference latency. Generic descriptions like 'software development' are often rejected by DSOs. Tie each objective to a course, project, or competency from your degree program.
What happens to my STEM OPT authorization if my employer loses E-Verify enrollment?
If your employer loses E-Verify enrollment or withdraws, you're no longer authorized to work for them on STEM OPT. USCIS requires E-Verify participation to remain active throughout your employment, not just at the time of your extension approval. You'd need to either find a new E-Verify-enrolled employer or work with your DSO on next steps before your grace period expires.
Does cap-gap protection apply if my H-1B is selected while I'm on STEM OPT?
Yes. If your employer files an H-1B visa petition on your behalf before your STEM OPT EAD expires and you're selected in the lottery, cap-gap rules automatically extend your F-1 status and work authorization through September 30 of that fiscal year. Your STEM OPT EAD's explicit expiration date becomes irrelevant during this period. USCIS confirms cap-gap coverage based on your I-94 and the petition receipt notice.