OPT AI Platform Engineer Jobs
AI Platform Engineer jobs are among the most OPT-friendly roles in tech right now, with strong demand from employers already set up to sponsor H-1B visas. Most positions require a master's degree in computer science or a related field, which aligns well with the STEM OPT extension that gives you 36 months of authorized work.
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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 376+ OPT AI Platform Engineer Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as an AI Platform Engineer
Target companies with active H-1B filing history
Employers who regularly file H-1B petitions are far more likely to understand OPT and sponsor you after your authorization period ends. Prioritize companies with engineering teams of 50 or more, where immigration infrastructure already exists.
Emphasize your ML infrastructure experience up front
Hiring managers for AI Platform roles care most about experience with model serving, MLflow, Kubeflow, or similar tooling. Lead with specific systems you have built or maintained, not just the languages or frameworks you know.
Apply during STEM OPT, not at the end of it
Starting your search six to nine months before your OPT expires gives employers realistic runway to prepare an H-1B petition. Waiting until the final months signals urgency that makes risk-averse hiring managers hesitate on sponsorship conversations.
Get your STEM OPT extension filed before the job search
Confirm your I-983 training plan is in order and your extension EAD has been applied for before you start interviewing. Employers will ask about your timeline, and a concrete answer builds confidence that hiring you carries no immediate risk.
Clarify the role qualifies as a specialty occupation
AI Platform Engineer positions almost universally require a bachelor's degree or higher in a specific technical field, which satisfies the specialty occupation standard. Confirm this with your DSO so you can speak to it confidently when the topic arises with employers.
Use Migrate Mate to find OPT-friendly AI Platform roles
Migrate Mate filters for employers who are actively open to OPT candidates, so you spend less time cold-applying to companies that will reject you at the visa question. Browse current AI Platform Engineer listings to shortlist realistic targets before you reach out.
AI Platform Engineer OPT: Frequently Asked Questions
Do AI Platform Engineer jobs qualify for the STEM OPT extension?
Yes, in most cases. AI Platform Engineer roles fall under CIP codes in computer science or electrical engineering, which are on the STEM Designated Degree Program list. Your degree field, not the job title, determines STEM OPT eligibility, so confirm with your DSO that your program qualifies. Once confirmed, you get 24 additional months on top of your initial 12-month OPT period.
How does the practical training requirement work for AI Platform Engineer positions?
Your job must be directly related to your degree field. For AI Platform Engineers, roles involving model deployment, infrastructure automation, distributed systems, or data pipeline architecture almost always satisfy this requirement given their connection to computer science and engineering coursework. Document this connection carefully in your I-983 training plan, which your employer must sign and your DSO must approve before your STEM OPT extension is granted.
Will employers sponsor an H-1B visa after my OPT period ends?
Many do, but it varies by company size, budget, and hiring philosophy. Large tech companies and well-funded AI startups are the most consistent sponsors because they have legal teams set up to handle immigration. AI Platform Engineer is a high-demand, specialized role, which strengthens your negotiating position. Start the H-1B conversation early in the hiring process rather than after an offer is made.
Can I work as a contractor or on a project basis while on OPT?
Yes, but with conditions. OPT allows self-employment and contract work as long as the work is directly related to your degree. For AI Platform Engineers, contract engagements in machine learning infrastructure or cloud platform development typically qualify. You must work at least 20 hours per week to remain in valid OPT status, and unemployment gaps beyond 90 days cumulatively can jeopardize your authorization.
Where can I find AI Platform Engineer jobs that accept OPT candidates?
Migrate Mate is built specifically for this. The platform surfaces AI Platform Engineer roles from employers who are open to OPT candidates and have a track record of sponsoring visas, so you can filter out companies that will reject your application at the authorization step. Browse current listings on Migrate Mate to identify realistic targets based on your graduation date and OPT timeline.