OPT AI Solutions Engineer Jobs
AI Solutions Engineer jobs on OPT typically fall under STEM-designated CIP codes in computer science or engineering, giving you access to the 24-month STEM OPT extension. These roles combine deep technical skills with client-facing work, and many employers at consulting firms, cloud providers, and enterprise software companies actively hire OPT candidates.
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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 393+ OPT AI Solutions Engineer Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as an AI Solutions Engineer
Confirm your role qualifies for STEM OPT
AI Solutions Engineer positions almost always qualify for the 24-month STEM OPT extension, but confirm your degree CIP code matches an eligible STEM field before accepting an offer. Your DSO can verify this quickly.
Target employers with an established E-Verify account
STEM OPT extension requires your employer to be enrolled in E-Verify. Ask recruiters directly before investing time in interviews. Most large tech firms and consulting companies already participate, so this rarely eliminates top employers.
Lead with your technical stack, not your visa status
Hiring managers for AI Solutions Engineer roles prioritize candidates who can demonstrate LLM integration, cloud architecture, or ML deployment experience. Establish technical fit first, then address OPT work authorization when the recruiter asks.
Prepare a one-sentence OPT explanation for non-technical recruiters
Many recruiters outside major tech hubs are unfamiliar with OPT. Having a clear, confident explanation ready, such as noting your three-year authorized work period with STEM extension, reduces friction early in the hiring process.
Track your OPT end date and H-1B timeline together
AI Solutions Engineers are strong H-1B visa candidates given high employer demand. Map your OPT expiration against the April H-1B lottery so you know exactly how many application cycles you have before needing another status option.
Document your technical contributions for future visa petitions
Keep detailed records of AI projects, client outcomes, and performance reviews from day one. Strong documentation of specialized work in AI solutions engineering builds a compelling foundation for H-1B specialty occupation arguments and future green card petitions.
AI Solutions Engineer OPT: Frequently Asked Questions
Can I work as an AI Solutions Engineer on OPT?
Yes, provided the role relates directly to your degree field. AI Solutions Engineer positions typically align with computer science, software engineering, or information systems degrees, all of which are STEM-designated. That alignment also makes you eligible for the 24-month STEM OPT extension on top of your initial 12-month OPT period.
Do AI Solutions Engineer employers typically sponsor H-1B visas?
Many do. Employers at cloud providers, enterprise software companies, and AI-focused consulting firms regularly sponsor H-1B visas for this role because AI Solutions Engineers require specialized technical knowledge that supports specialty occupation classification. Migrate Mate filters job listings by sponsorship history, so you can focus on employers with a documented track record of filing.
How does the STEM OPT training plan requirement apply to this role?
During your 24-month STEM extension, your employer must sign a formal training plan (Form I-983) outlining how the role develops your STEM skills. For AI Solutions Engineers, this should document specific learning goals around AI architecture, model deployment, or systems integration. Your employer also needs to be enrolled in E-Verify for the extension to be valid.
What if my AI Solutions Engineer job is fully remote? Does that affect my OPT?
Remote work is generally permitted on OPT, but you must maintain a valid employer-employee relationship and your employer must still be E-Verify enrolled for STEM extension eligibility. Report any change in employment details to your DSO promptly. Prolonged gaps in employment can jeopardize your OPT status, so notify your school within 10 days of any change.
How long does OPT authorize me to work as an AI Solutions Engineer before I need another visa?
Your initial OPT gives you 12 months of work authorization. If your degree is in a STEM field and your employer is E-Verify enrolled, you can apply for a 24-month STEM extension, giving you up to 36 months total. That window covers three H-1B lottery cycles, which matters because AI Solutions Engineers are competitive candidates and may get selected on the first or second attempt.