OPT AI Intern Jobs
AI Intern roles are among the most OPT-friendly positions in tech right now, with many employers already familiar with F-1 work authorization. Your 12-month OPT window, extendable to 36 months with a STEM extension, gives you real runway to build experience and transition into a full-time sponsored role.
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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.
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Get Access To All JobsTips for Finding OPT Sponsorship as an AI Intern
Target STEM-designated programs early
AI internships almost always qualify for the 24-month STEM OPT extension because they fall under CIP codes in computer science or engineering. Confirm your degree's CIP code with your DSO before applying so you can communicate your full 36-month authorization window to employers confidently.
Lead with your work authorization timeline
Employers often misread OPT as complicated. State clearly in your cover letter that you're authorized to work for 36 months on STEM OPT with no employer-filed petition required. Removing that uncertainty upfront increases the chance a recruiter moves forward with your application.
Prioritize employers with existing E-Verify enrollment
STEM OPT extensions require your employer to be enrolled in E-Verify. Ask recruiters early whether the company is enrolled. Startups and smaller AI labs sometimes aren't, which can block your extension even after a successful internship and full-time conversion offer.
Align your AI skillset with the employer's tech stack
Sponsorship-friendly employers hiring AI interns want direct technical fit. Tailor your resume to match their specific tools, whether that's PyTorch, LangChain, or Hugging Face. Reducing training overhead makes the case for sponsoring you far stronger when your internship ends.
Use the internship to position for H-1B sponsorship
An AI internship is a proving ground for full-time visa sponsorship. From day one, treat deliverables as evidence of specialty occupation work. Document your contributions in ways that can later support an H-1B visa petition, including the degree-to-role connection your employer will need to demonstrate.
Negotiate a start date that protects your OPT status
Your OPT authorization must be active before your first day of work. Coordinate your start date with your EAD card arrival and DSO approval timeline. Starting even one day early is an unauthorized employment violation, so build buffer into any offer you accept.
AI Intern OPT: Frequently Asked Questions
Can I work as an AI Intern on OPT without employer sponsorship?
Yes. OPT authorizes you to work without any employer-filed petition, which is one of its biggest advantages for internship roles. Your employer does not need to file anything with USCIS before you start. For STEM OPT extension, they need to be enrolled in E-Verify and file a training plan, but that happens after you've accepted a role.
Do AI Intern roles qualify for the 24-month STEM OPT extension?
Most do, provided your underlying degree is in a STEM-designated field such as computer science, data science, electrical engineering, or a related discipline. The role itself must also be directly related to your degree. Confirm with your DSO that your CIP code qualifies before accepting an offer, since not all business or social science degrees with an AI component meet the threshold.
How do I find AI Intern roles where employers already understand OPT?
Migrate Mate is built specifically for F-1 OPT and STEM OPT students and filters roles by sponsorship familiarity, so you're not cold-applying to companies that have never hired an international student. Searching there narrows your pool to employers who are already comfortable with work authorization conversations, which meaningfully improves response rates for AI Intern applicants.
What happens to my OPT if my AI internship ends before I find a full-time role?
OPT allows up to 90 days of unemployment, or 150 days if you're on a STEM extension. An internship ending counts toward that limit if you're not immediately employed or in another authorized position. Tracking your unemployment days carefully matters because exceeding the threshold invalidates your OPT status, even if your EAD card hasn't expired.
Can an AI Intern role on OPT convert into H-1B sponsorship?
It can, and this is the most common pathway for international students in tech. After demonstrating your value during the internship, you'd need your employer to file an H-1B petition during the annual cap registration window, which opens in March. Because H-1B selection involves a lottery, many OPT students use their STEM extension as a buffer to go through multiple lottery cycles if needed.