Applied AI Engineer Jobs for OPT Students
Applied AI Engineer jobs are among the most actively sponsored roles for F-1 OPT students, with employers regularly filing H-1B petitions for engineers who build and deploy production AI systems. Most roles require a degree in computer science, machine learning, or a related field, and STEM OPT extension eligibility is nearly universal in this category.
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Get Access To All JobsINTRODUCTION
We’re a cybersecurity company building a next-generation AI-driven operations platform, designed to power complex, high-stakes workflows. The product integrates generative AI deeply into real-time operational environments—combining reasoning, retrieval, and automation into scalable, trustworthy systems.
We’re looking for an Applied AI Engineer with strong backend and AI experience who can architect, build, and scale secure, performant systems. You’ll work closely with product, AI/ML, and design teams to deliver capabilities that drive investigation speed, streamline operations, and unlock new modes of human-AI collaboration.
KEY RESPONSIBILITIES
Development:
- Architect and implement scalable AI agent and backend systems for high-volume, real-time operational workloads.
- Integrate LLMs and GenAI components into production workflows, including fine-tuning, prompt orchestration, retrieval pipelines, and evaluation loops.
- Design and implement robust data flows (e.g., event streams, message queues, job orchestration) to support next-gen SOC/NOC capabilities.
- Define clear contracts between AI services, backend APIs, and frontend clients.
- Contribute to trustworthy AI delivery: streaming responses with structured outputs, redaction/guardrails, and human-in-the-loop review.
Collaboration:
- Partner with backend team to build data pipeline.
- Collaborate with design and frontend engineers to translate complex backend/AI systems into intuitive UIs.
- Lead technical reviews, and help shape coding standards and architectural patterns.
- Communicate clearly with both technical and non-technical stakeholders about trade-offs, performance, and reliability.
REQUIRED QUALIFICATIONS
Experience:
- Proven track record shipping data-intensive and AI-enhanced applications.
Technical Skills
Core Backend & Platform:
- Proficiency with at least one modern backend runtime/language (e.g., Python, Go) and associated frameworks.
- Strong background in designing APIs (REST/WebSocket/GraphQL) and integrating with real-time/event-driven systems.
- Deep understanding of databases and storage paradigms (e.g., Postgres, graph DBs, time-series stores).
- Experience with authentication/authorization, session management, and enterprise integrations.
- Familiarity with distributed systems, scalability, and observability best practices.
AI/ML Integration:
- Hands-on experience building or integrating AI systems in production.
- Familiarity with multi-agent, retrieval-augmented generation (RAG), prompt engineering, evaluation, and guardrails.
- Exposure to model fine-tuning workflows or orchestration frameworks for multi-tool AI agents.
Communication & Soft Skills:
- Strong problem-solving skills and attention to detail.
- Excellent written and verbal communication.
- Comfortable operating in fast-moving, ambiguous contexts.
- Experience working with distributed teams.
WHAT WE OFFER
- Opportunity to shape the future of AI-assisted cybersecurity and operations at scale.
- End-to-end ownership of high-impact product surfaces used daily by enterprise customers.
- Collaborative environment with experienced engineers, researchers, and designers.
- Continuous learning in AI/ML, distributed systems, and modern web technologies.
- Terrific benefits and competitive compensation.
The US Hourly Pay Range for this temporary position (Summer Internship) is $35-45 USD. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location.
Why Join Us:
We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.
INTRODUCTION
We’re a cybersecurity company building a next-generation AI-driven operations platform, designed to power complex, high-stakes workflows. The product integrates generative AI deeply into real-time operational environments—combining reasoning, retrieval, and automation into scalable, trustworthy systems.
We’re looking for an Applied AI Engineer with strong backend and AI experience who can architect, build, and scale secure, performant systems. You’ll work closely with product, AI/ML, and design teams to deliver capabilities that drive investigation speed, streamline operations, and unlock new modes of human-AI collaboration.
KEY RESPONSIBILITIES
Development:
- Architect and implement scalable AI agent and backend systems for high-volume, real-time operational workloads.
- Integrate LLMs and GenAI components into production workflows, including fine-tuning, prompt orchestration, retrieval pipelines, and evaluation loops.
- Design and implement robust data flows (e.g., event streams, message queues, job orchestration) to support next-gen SOC/NOC capabilities.
- Define clear contracts between AI services, backend APIs, and frontend clients.
- Contribute to trustworthy AI delivery: streaming responses with structured outputs, redaction/guardrails, and human-in-the-loop review.
Collaboration:
- Partner with backend team to build data pipeline.
- Collaborate with design and frontend engineers to translate complex backend/AI systems into intuitive UIs.
- Lead technical reviews, and help shape coding standards and architectural patterns.
- Communicate clearly with both technical and non-technical stakeholders about trade-offs, performance, and reliability.
REQUIRED QUALIFICATIONS
Experience:
- Proven track record shipping data-intensive and AI-enhanced applications.
Technical Skills
Core Backend & Platform:
- Proficiency with at least one modern backend runtime/language (e.g., Python, Go) and associated frameworks.
- Strong background in designing APIs (REST/WebSocket/GraphQL) and integrating with real-time/event-driven systems.
- Deep understanding of databases and storage paradigms (e.g., Postgres, graph DBs, time-series stores).
- Experience with authentication/authorization, session management, and enterprise integrations.
- Familiarity with distributed systems, scalability, and observability best practices.
AI/ML Integration:
- Hands-on experience building or integrating AI systems in production.
- Familiarity with multi-agent, retrieval-augmented generation (RAG), prompt engineering, evaluation, and guardrails.
- Exposure to model fine-tuning workflows or orchestration frameworks for multi-tool AI agents.
Communication & Soft Skills:
- Strong problem-solving skills and attention to detail.
- Excellent written and verbal communication.
- Comfortable operating in fast-moving, ambiguous contexts.
- Experience working with distributed teams.
WHAT WE OFFER
- Opportunity to shape the future of AI-assisted cybersecurity and operations at scale.
- End-to-end ownership of high-impact product surfaces used daily by enterprise customers.
- Collaborative environment with experienced engineers, researchers, and designers.
- Continuous learning in AI/ML, distributed systems, and modern web technologies.
- Terrific benefits and competitive compensation.
The US Hourly Pay Range for this temporary position (Summer Internship) is $35-45 USD. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location.
Why Join Us:
We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.
How to Get Visa Sponsorship as an Applied AI Engineer
Target companies with active AI infrastructure teams
Companies building internal AI platforms, not just integrating third-party APIs, are far more likely to sponsor. Look for job postings that mention model fine-tuning, inference optimization, or LLM deployment pipelines as indicators of serious AI engineering investment.
Lead with production deployment experience
Employers distinguish Applied AI Engineers from researchers by deployment track record. Highlight any experience shipping models to production, managing latency constraints, or building evaluation frameworks rather than leading with academic research or Jupyter notebook projects.
Understand your STEM OPT timeline before applying
Standard OPT gives you 12 months. A STEM extension adds 24 more, totaling 36 months. Computer science and related degrees almost always qualify. Knowing your exact end dates helps you time applications and negotiate start dates with confidence.
Frame your H-1B sponsorship ask as a process, not a favor
Many employers are unfamiliar with OPT-to-H-1B timelines. Explain that STEM OPT covers you through multiple H-1B lottery cycles, reducing their urgency. Framing it as a straightforward process with a clear runway removes the perception of risk.
Build a portfolio around measurable AI system outcomes
Applied AI roles favor engineers who can show business impact. Document projects with specific metrics: latency reductions, accuracy improvements, cost-per-inference figures, or user adoption numbers. Concrete outcomes signal readiness for production engineering, not just prototyping.
Browse OPT-friendly Applied AI Engineer roles on Migrate Mate
Migrate Mate surfaces Applied AI Engineer jobs from employers with a demonstrated history of sponsoring F-1 OPT candidates. Filtering by sponsorship history before applying saves time and increases the likelihood your application lands with a visa-ready employer.
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Get Access To All JobsFrequently Asked Questions
Can I work as an Applied AI Engineer on F-1 OPT without an H-1B?
Yes. F-1 OPT authorizes full-time employment in roles directly related to your degree, and Applied AI Engineering almost always qualifies under computer science, electrical engineering, or a related STEM field. Standard OPT covers 12 months. If your degree is STEM-designated, you can apply for a 24-month extension, giving you up to 36 months of work authorization before needing H-1B or another visa.
Does an Applied AI Engineer role qualify for the STEM OPT extension?
In nearly every case, yes. Applied AI Engineering requires skills in machine learning, software systems, or data science, all of which map directly to CIP codes that qualify for STEM OPT. Your employer must also be enrolled in E-Verify, which most companies of meaningful size already satisfy. Confirm your specific degree's CIP code with your DSO to be certain before applying for the extension.
How many H-1B lottery cycles does my OPT cover as an Applied AI Engineer?
With a STEM OPT extension, you have 36 months of work authorization. The H-1B lottery runs each spring for an October 1 start date. Depending on when your OPT begins, you may be eligible for two or three lottery cycles before your authorization expires. Applied AI Engineers are among the most commonly sponsored H-1B roles, so employers in this space are generally familiar with the timeline.
What should I look for in an employer to ensure they'll sponsor my visa?
Look for employers who have previously filed H-1B petitions, are enrolled in E-Verify, and have dedicated HR or legal teams familiar with immigration processes. Larger tech companies, AI-focused startups with institutional funding, and enterprises with established engineering departments are the most reliable sponsors. Migrate Mate filters Applied AI Engineer jobs by sponsorship history so you can focus your search on employers already set up to support OPT candidates.
Does my job function need to match my degree exactly for OPT to be valid?
Not exactly, but the role must be directly related to your degree field. An Applied AI Engineer role requiring knowledge of machine learning, statistical modeling, or software engineering aligns with degrees in computer science, electrical engineering, applied mathematics, and similar disciplines. Your DSO makes the final determination, but most Applied AI roles are well within the acceptable scope for STEM degree holders on OPT.
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