STEM OPT Genai Engineer Jobs
GenAI Engineer roles sit squarely within STEM OPT eligibility, letting you work up to 36 months total on your F-1 OPT period. The 24-month STEM extension requires your employer to be enrolled in E-Verify and your degree to fall under a qualifying STEM CIP code in computer science, data science, or a related engineering discipline.
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Agentic AI Developer (Python)
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. You’ll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation, and deployment.
JOB 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
REQUIREMENTS
- 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 QUALIFICATIONS
- 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, Cloud Run/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)
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
INTRODUCTION
Agentic AI Developer (Python)
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. You’ll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation, and deployment.
JOB 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
REQUIREMENTS
- 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 QUALIFICATIONS
- 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, Cloud Run/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)
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Genai Engineer
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code appears on the DHS STEM OPT designated degree program list. Computer science, electrical engineering, and data science CIP codes all qualify, but a general IT or business analytics degree may not.
Confirm E-Verify enrollment before accepting offers
GenAI roles often appear at startups and AI labs that haven't yet enrolled in E-Verify. Before signing anything, ask the recruiter for the company's E-Verify employer ID or look it up through the E-Verify employer search tool.
Tailor your I-983 training plan to GenAI deliverables
Your I-983 must list specific learning objectives tied to your STEM degree, not a generic job description. Map milestones to skills like transformer architecture, retrieval-augmented generation, or model evaluation to satisfy USCIS audit requirements.
Target employers with prior STEM OPT sponsorship history
Use Migrate Mate to filter GenAI Engineer openings by employers who have sponsored STEM OPT students before, using DOL Labor Condition Application filing data. This cuts time spent on companies unfamiliar with the E-Verify and I-983 requirements.
File your STEM OPT extension at least 90 days early
USCIS allows you to apply for the 24-month STEM extension up to 90 days before your initial OPT EAD expires. Missing this window means a gap in work authorization, which is especially costly if you're mid-project at a GenAI team.
Understand cap-gap protection if you receive an H-1B offer
If an employer files an H-1B visa petition on your behalf before April 1 and you're selected in the lottery, cap-gap rules automatically extend your OPT EAD through September 30. Confirm your employer will file on time so this bridge stays intact.
Frequently Asked Questions
Does a GenAI Engineer role qualify for the STEM OPT extension?
Yes, GenAI Engineer positions typically qualify because they require direct application of STEM knowledge in machine learning, artificial intelligence, or computer engineering. Your eligibility also depends on your degree: the CIP code on your transcript must appear on the DHS STEM designated degree program list. Degrees in computer science, electrical engineering, and data science consistently qualify. Confirm your specific code with your DSO before applying for the extension.
What does my employer need to do for my STEM OPT authorization?
Your employer must be enrolled in E-Verify, sign the Form I-983 training plan with you, and report changes in employment to your DSO within five business days. For GenAI roles, the I-983 must detail specific STEM-related learning goals tied to your daily work, such as model development cycles or data pipeline engineering. USCIS can audit these plans, so vague job descriptions are a liability.
How do I find GenAI Engineer jobs where the employer is already enrolled in E-Verify?
Search on Migrate Mate, which surfaces GenAI Engineer openings filtered for employers with verified STEM OPT hiring history using DOL LCA data. You can also cross-check any employer directly through the E-Verify employer search tool before applying. Prioritizing E-Verify-enrolled companies at the application stage avoids delays after an offer is extended.
What happens to my work authorization if my STEM OPT period ends while an H-1B petition is pending?
If your employer filed an H-1B cap-subject petition before April 1 of the fiscal year and USCIS selected it in the lottery, cap-gap rules extend your OPT EAD automatically through September 30. During the cap-gap period, you can continue working in your GenAI role without interruption. If the petition is not selected, your work authorization ends when your current EAD expires, so your employer's filing timeline matters significantly.
Can I work as a contractor or on a project basis as a GenAI Engineer on STEM OPT?
STEM OPT requires a bona fide employer-employee relationship, which means your day-to-day work must be supervised and directed by the E-Verify-enrolled employer who signed your I-983. Short-term project placements through a staffing agency can satisfy this requirement only if the agency itself is the E-Verify employer and signs the I-983. Independent contracting with no direct supervision does not meet USCIS standards for STEM OPT.