OPT AI Product Engineer Jobs
AI Product Engineer roles sit at the intersection of machine learning and product development, making them a strong fit for F-1 OPT students with STEM degrees in computer science, data science, or AI. Most roles qualify for the 24-month STEM OPT extension, giving you up to three years of authorized work experience.
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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 373+ OPT AI Product Engineer Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as an AI Product Engineer
Lead with your STEM OPT eligibility
AI Product Engineer roles almost universally qualify for the 24-month STEM OPT extension. Mentioning your eligibility upfront removes the employer's biggest concern and signals you've done the homework on your own authorization status.
Target companies with active H-1B sponsorship history
Companies that have sponsored H-1B visas before are significantly more likely to support OPT employees through the transition. Focus your applications on employers with a documented pattern of sponsoring technical roles in machine learning or product engineering.
Position your AI skills around business outcomes
Hiring managers for product-facing AI roles care about shipped features and measurable impact, not just model accuracy. Frame your experience around what you built, who used it, and what improved. This shifts the conversation from authorization to value.
Apply early in your OPT window
Many employers hesitate when OPT expiration is close. Applying within the first six months of your initial OPT period gives companies confidence they'll have time to evaluate you and begin H-1B planning well before your authorization runs out.
Build a portfolio of deployed AI work
Demonstrated product thinking sets AI Product Engineers apart from pure researchers. Showcase projects where you integrated a model into a real application, handled edge cases, and iterated based on user feedback. GitHub and personal projects both count.
Be direct about your timeline in interviews
Proactively explaining your OPT timeline, STEM extension eligibility, and H-1B lottery calendar builds trust rather than creating uncertainty. Employers appreciate candidates who understand the process and can plan around it without requiring hand-holding.
AI Product Engineer OPT: Frequently Asked Questions
Do AI Product Engineer jobs qualify for the 24-month STEM OPT extension?
Most do, provided your degree is in a STEM-designated field such as computer science, electrical engineering, data science, or a related discipline. The role itself must also be directly related to your field of study. AI Product Engineer positions typically satisfy this requirement given their foundation in applied machine learning and software systems, but your DSO must confirm eligibility based on your specific degree and CIP code.
How do I find AI Product Engineer employers who are open to OPT candidates?
Migrate Mate is built specifically for F-1 OPT students and surfaces AI Product Engineer roles at companies that have demonstrated willingness to sponsor or support international candidates. Filtering by OPT-friendly employers saves time compared to applying broadly and hitting walls mid-process. Prioritize companies with an existing H-1B sponsorship track record in technical roles, since that signals a clear pathway beyond your initial authorization period.
What happens to my OPT if I'm laid off from an AI Product Engineer role?
You have a 60-day grace period from the date your employment ends to find a new OPT-authorized position, transfer to a different visa status, or depart the U.S. During this window, you cannot work. If you secure a new role within 60 days, your DSO updates your SEVIS record with the new employer. Staying unemployed beyond 60 days puts you out of status, so it's critical to act quickly.
Can I work as a contractor or freelancer as an AI Product Engineer on OPT?
Yes, OPT permits self-employment and independent contracting as long as the work is directly related to your degree field and you can document it properly. For an AI Product Engineer, this typically means contract projects involving model development, AI integration, or product feature work. You must log hours in your SEVIS record and ensure each engagement is clearly tied to your field of study to remain compliant.
Does having a master's degree versus a bachelor's degree affect my OPT options for this role?
Your OPT period is the same regardless of degree level: 12 months of initial OPT plus a potential 24-month STEM extension if you qualify. However, a master's degree in a STEM field does improve your H-1B lottery odds, since master's graduates from U.S. institutions are entered into both the regular cap and the advanced degree exemption pool. For AI Product Engineer roles specifically, a master's also tends to open doors to more senior product and research-adjacent positions.