OPT AI Software Developer Jobs
AI Software Developer jobs are among the most actively sponsored roles for F-1 OPT students, with employers across tech, healthcare, and finance regularly filing H-1B visa petitions for qualified candidates. Your 12-month OPT period, extendable to 36 months with a STEM extension, gives you time to land a role and pursue long-term sponsorship.
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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 386+ OPT AI Software Developer Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as an AI Software Developer
Filter for STEM OPT-eligible employers
Target companies with an active E-Verify enrollment, which is required for the 24-month STEM extension. Without E-Verify, you can only work for 12 months, cutting your runway to find a sponsored position significantly short.
Lead with your AI specialization
Hiring managers distinguish between general software engineers and AI specialists. Specify your focus area, whether it's LLMs, computer vision, or MLOps, in your resume headline and cover letter so recruiters can immediately assess fit.
Confirm the role qualifies under your degree
OPT employment must be directly related to your field of study. An AI Software Developer role is a strong match for CS, data science, or electrical engineering degrees. Document the connection clearly in case your DSO or employer asks.
Ask about H-1B sponsorship before final rounds
Raise sponsorship during the offer stage, not after signing. Ask specifically whether the company has sponsored H-1B visa petitions before and whether this role qualifies. Vague answers now create serious problems when your OPT expires.
Build a portfolio of deployed AI work
Employers sponsoring OPT candidates want evidence of production-ready skills. GitHub repositories with real datasets, model benchmarks, and API integrations carry more weight than coursework projects in technical screening rounds.
Time your STEM extension application carefully
File your STEM OPT extension request at least 90 days before your current EAD expires. Your employer must sign a formal training plan. Starting this process late puts your work authorization at risk during active job searches.
AI Software Developer OPT: Frequently Asked Questions
Does an AI Software Developer role 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, and the role involves building or researching AI systems, it qualifies. The job must be directly related to your degree, and your employer must be enrolled in E-Verify and co-sign a formal training plan with your DSO.
How do I find AI Software Developer jobs that sponsor OPT and H-1B?
Migrate Mate filters specifically for employers open to OPT and visa sponsorship, so you are not wasting applications on companies that will not sponsor. Standard job boards mix sponsored and non-sponsored roles with no way to filter. For international students on a tight OPT clock, that distinction matters more than anything else in your search.
Can I work on AI projects for a startup on OPT?
Yes, but the startup must pay you as a W-2 employee and meet the standard OPT employment requirements. The role must relate to your degree, and you cannot work as an independent contractor unless you qualify for self-employment OPT, which requires you to have a legitimate business. Most early-stage startups can satisfy these requirements as long as they are paying wages.
What if my AI Software Developer job involves both research and product work?
That is common in this field and generally not a problem for OPT purposes. What matters is that the overall role connects to your degree field, not that every task is purely technical. Document the research components in your offer letter or job description, as this strengthens your case for the STEM extension and helps your DSO confirm eligibility.
How soon should I start looking for AI Software Developer jobs on OPT?
Start at least three to four months before your program end date. USCIS can take up to 90 days to process an OPT EAD, and you cannot work until you receive it. For roles with lengthy technical interview processes, common in AI engineering, starting early gives you enough runway to complete multiple rounds before your authorization window opens.