OPT AI Developer Jobs
AI Developer roles qualify for OPT and STEM OPT extension, giving you up to three years of work authorization. Most positions involve machine learning, model development, or NLP, which align directly with the STEM degree requirements that support a 24-month STEM OPT extension after your initial 12 months.
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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 Developer
Lead with your technical stack
Hiring managers scan for specific tools fast. List your frameworks prominently: PyTorch, TensorFlow, LangChain, Hugging Face. Concrete technical credentials reduce hesitation about OPT sponsorship because your skills speak before your visa status does.
Target STEM-designated degree holders
Your Computer Science, Data Science, or Engineering degree is what unlocks the 24-month STEM OPT extension. Confirm your program's CIP code qualifies before applying, so you can accurately tell employers you have up to three years of work authorization.
Apply to companies already hiring on OPT
Companies that have sponsored F-1 OPT students before understand the E-Verify requirement and reporting obligations. Focusing your search on those employers dramatically shortens the education process and improves your chances of getting an offer.
Frame OPT as a low-barrier trial
Employers pay no government filing fees for OPT. Positioning your status honestly, as a straightforward work authorization with no upfront cost to them, removes a common objection before it surfaces in the interview process.
Build a portfolio of deployed work
AI Developer roles are highly competitive. A GitHub repository showing a fine-tuned model, a production API, or a Kaggle competition result gives hiring managers something concrete to evaluate beyond your resume and reduces sponsorship risk in their minds.
Know your OPT timeline before interviewing
Employers will ask how long you can work without H-1B visa sponsorship. Have a precise answer ready: your OPT end date, whether you qualify for STEM extension, and the earliest date you would need employer-sponsored status to continue working legally.
AI Developer OPT: Frequently Asked Questions
Do AI Developer roles qualify for the STEM OPT extension?
Yes, in most cases. If your degree is in Computer Science, Data Science, Electrical Engineering, or a related STEM field with a qualifying CIP code, you can apply for a 24-month STEM OPT extension after your initial 12-month OPT period. That gives you up to three years of total work authorization, which covers most H-1B lottery cycles.
Do employers need to file paperwork to hire me on OPT?
The main employer requirement is E-Verify enrollment. Unlike H-1B, there are no government filing fees and no USCIS petition required for OPT. For STEM OPT extension, your employer must sign a training plan (Form I-983) and be enrolled in E-Verify. Many tech companies already meet this requirement, making AI Developer roles relatively accessible on OPT.
How do I find AI Developer jobs that are open to OPT students?
Migrate Mate is built specifically for F-1 OPT students and filters for employers who are open to sponsoring work authorization. Browsing AI Developer listings on Migrate Mate lets you focus on roles where OPT is already expected, rather than spending time on applications where your visa status will disqualify you at the screening stage.
What happens to my OPT status if I work as a contractor or on a project basis?
OPT allows contract and project-based work as long as the work is directly related to your degree field and you average at least 20 hours per week. You must also report any employer changes to your DSO within 10 days. Short gaps between contracts are permitted, but cumulative unemployment cannot exceed 90 days during standard OPT.
Can I work on AI Developer roles at startups, or is it safer to target large companies?
Both are viable. Large companies often have established OPT and E-Verify processes, which reduces friction. Early-stage startups may move faster and care more about your technical skills than your visa status, but they may not be E-Verify enrolled, which is required for STEM OPT extension. Confirm E-Verify status before accepting an offer if you plan to apply for the extension.