OPT AI Research Scientist Jobs
AI Research Scientist roles are among the most OPT-friendly positions in tech, most require advanced degrees in computer science, machine learning, or a related field, which aligns well with F-1 students. STEM OPT extension eligibility gives you up to three years of work authorization, and many employers in this space actively recruit international researchers.
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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.
About the Role
You’ll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation, and deployment.
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.
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 Skills
- 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, CloudRun/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).
Pay range and compensation package
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
Equal Opportunity Statement
BeaconFire is committed to diversity and inclusivity.
About the Company
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.
About the Role
You’ll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation, and deployment.
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.
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 Skills
- 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, CloudRun/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).
Pay range and compensation package
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
Equal Opportunity Statement
BeaconFire is committed to diversity and inclusivity.
See all 778+ OPT AI Research Scientist Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as an AI Research Scientist
Target research-heavy employers
Companies with dedicated AI research labs, think large tech firms and university spinouts, are far more likely to sponsor OPT than generalist employers. Their hiring pipelines are built around international researchers with advanced degrees.
Lead with your research output
Publications, conference presentations, and GitHub repositories carry more weight for AI Research Scientist roles than job history. Highlight first-author papers and accepted submissions to NeurIPS, ICML, or ICLR prominently on your resume and application.
Confirm your STEM OPT eligibility early
Most AI Research Scientist roles qualify for the 24-month STEM OPT extension, giving you three years total. Verify your degree program CIP code with your DSO before applying so you can communicate your full authorization window to employers.
Address OPT timing proactively
Employers worry about authorization gaps more than the visa itself. Know your OPT start date, expiration, and STEM extension deadline, and be ready to walk a hiring manager through the timeline clearly during early conversations.
Align your specialty with employer roadmaps
Generative AI, reinforcement learning, and multimodal systems are active research priorities at many labs. Framing your PhD work or postdoc research around a specific technical area an employer is investing in strengthens your case significantly.
Use Migrate Mate to find OPT-ready roles
Not every employer understands OPT. Migrate Mate surfaces AI Research Scientist positions from companies already familiar with sponsoring international researchers, so you spend less time filtering and more time applying to genuinely viable opportunities.
AI Research Scientist OPT: Frequently Asked Questions
Do AI Research Scientist roles qualify for the STEM OPT extension?
Yes, in most cases. AI Research Scientist positions typically fall under CIP codes in computer science, electrical engineering, or mathematics, all STEM-designated fields. If your degree program is STEM-classified, you can apply for the 24-month STEM OPT extension, giving you up to three years of work authorization total. Confirm your specific CIP code with your DSO before assuming eligibility.
Do I need a PhD to get an AI Research Scientist job on OPT?
A PhD is standard for research scientist roles at major AI labs, but some companies hire MS graduates into research scientist or associate researcher positions. If you hold an MS, focus on employers with applied research teams rather than pure research labs. Your publication record and demonstrated research output will matter more than the degree level alone.
How do I find AI Research Scientist jobs that sponsor OPT?
The challenge isn't finding AI research roles, it's identifying which employers already understand OPT authorization. Migrate Mate filters for companies with a track record of hiring international researchers on OPT and H-1B visa, so you can focus your applications on employers who won't drop you at the offer stage over visa questions.
Can I work on a research project independently while on OPT?
OPT requires that your employment be directly related to your degree field, but independent consulting or contract research can qualify as long as it's legitimate work in your field and you track your employment properly. Unpaid self-directed projects don't count toward your employment requirement. Any gap of 90 days or more of unemployment while on OPT can jeopardize your status.
What happens to my OPT if my employer's H-1B petition for me isn't selected in the lottery?
If your employer files an H-1B petition on your behalf and it isn't selected, your OPT remains valid until its expiration date. If you have a STEM OPT extension, you can continue working under that authorization. Many AI research employers will refile in the next lottery cycle. It's worth discussing this scenario openly with your employer before accepting an offer.