OPT AI Data Engineer Jobs
AI Data Engineer jobs are among the most OPT-friendly roles in tech. Most require a degree in computer science, data engineering, or a related field, and the work directly matches STEM OPT extension criteria, giving you up to three years of authorized work experience to build toward 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 818+ OPT AI Data Engineer Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as an AI Data Engineer
Target companies with active H-1B filing history
Employers who have sponsored H-1B visas before are far more likely to sponsor yours. Search OFLC disclosure data to verify whether a company has filed for data engineering roles specifically, not just tech roles in general.
Lead with your STEM OPT timeline in outreach
Hiring managers often assume international candidates need sponsorship immediately. Clarifying upfront that you have up to three years of work authorization under STEM OPT removes the biggest objection before it becomes a reason to pass.
Align your skills with the employer's data stack
Fluency in Spark, Airflow, dbt, or cloud platforms like AWS and GCP signals readiness to contribute fast. Employers weigh sponsorship cost against ramp-up time, so demonstrating immediate impact strengthens your case considerably.
Pursue roles where your degree field matches the job directly
H-1B specialty occupation approval depends on a clear connection between your degree and the role. A data engineering position paired with a computer science or information systems degree is among the strongest combinations for petition approval.
Ask about sponsorship policy at the offer stage, not the application stage
Raising sponsorship too early filters you out before you've demonstrated value. Get through the technical interviews first, then ask whether the company has sponsored international hires in data engineering or similar roles before.
Build a portfolio that shows production-level work, not just coursework
Data engineering portfolios should include pipeline architecture, schema design decisions, and performance tradeoffs, not just completed projects. Employers sponsoring visas want evidence you can own infrastructure, not just build assignments under supervision.
AI Data Engineer OPT: Frequently Asked Questions
Does an AI Data Engineer role qualify for the STEM OPT extension?
Yes, AI Data Engineer roles almost always qualify for the 24-month STEM OPT extension, provided your degree is in an eligible STEM field such as computer science, data science, information systems, or electrical engineering. Your employer must also be enrolled in E-Verify, which most mid-size and large tech companies already are. The extension gives you up to three years of total OPT work authorization.
What types of employers are most likely to sponsor an AI Data Engineer for an H-1B?
Technology companies, financial services firms, and large enterprises with dedicated data platforms teams are the most consistent sponsors for data engineering roles. Companies building AI infrastructure at scale, such as those in cloud services, fintech, and health tech, regularly file H-1B petitions for this role. Migrate Mate filters job listings by sponsorship willingness, so you can focus on employers with a real track record rather than guessing.
Can I work as an AI Data Engineer for a startup on OPT?
Yes, but startups carry more risk for OPT students than established employers. If a startup is not enrolled in E-Verify, you cannot use your STEM OPT extension there. Startups also have a lower rate of H-1B sponsorship due to cost and legal overhead. If you pursue a startup role, confirm E-Verify enrollment before accepting and ask directly about their history sponsoring international employees.
How does the 90-day unemployment limit affect AI Data Engineers on OPT?
During your standard OPT period, you cannot accumulate more than 90 days of unemployment. During your STEM OPT extension, that limit increases to 150 cumulative days. For AI Data Engineers, this matters most during job transitions. If you leave one role without another lined up, the clock starts immediately. Keeping your job search active and targeted from the beginning of your OPT period reduces this risk substantially.
What should I look for in an AI Data Engineer job listing to assess sponsorship likelihood?
Look for explicit mentions of visa sponsorship availability, E-Verify enrollment, and whether the company has filed LCAs or H-1B petitions in data engineering or related titles previously. Job listings that specify 'must be authorized to work without sponsorship' are a hard no. Beyond the listing itself, checking a company's public OFLC disclosure filings gives you objective evidence of their actual sponsorship history before you invest time in the application process.