AI Engineer Jobs at Reflection AI with Visa Sponsorship
Reflection AI is building frontier AI systems, and their AI Engineer roles sit at the intersection of research and production infrastructure. The company sponsors select work visa categories, making these positions accessible to international candidates who bring deep technical expertise in machine learning and systems engineering.
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Get Access To All JobsOur Mission
Reflection’s mission is to build open superintelligence and make it accessible to all. We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.
Role Overview
We’re looking for a core member of Reflection’s Applied AI team to drive our Forward Deployed Engineering efforts with enterprise customers. This team works hands-on to translate advanced AI research into high-impact, real-world applications. As a Forward Deployed Engineer, you will own the technical strategy and delivery of agentic systems from initial customer discovery through production launch.
- Partner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.
- Build agentic systems using state-of-the-art models, orchestrating LLM workflows, integrating with enterprise infrastructure, and deploying reliable production systems.
- Collaborate with research teams to adapt and fine-tune models for customer-specific needs.
- Support end-to-end deployments across hybrid environments (public cloud, VPC, and on-premises), helping ensure scalability, performance, and reliability in production.
- Contribute to evolving playbooks, processes, and best practices as part of a growing Forward Deployed Engineering organization.
What We're Looking For
- Strong software engineering background with experience shipping production-grade systems (Python, Typescript)
- Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD).
- Deep understanding of machine learning concepts and hands-on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.
- 3+ years of software engineering experience delivering AI-driven enterprise solutions (e.g., Forward Deployed Engineer, Software Engineer, or Applied AI Engineer).
- Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.
- Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.
What We Offer
We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
- Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
- Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
- Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
- Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
- Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
Our Mission
Reflection’s mission is to build open superintelligence and make it accessible to all. We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.
Role Overview
We’re looking for a core member of Reflection’s Applied AI team to drive our Forward Deployed Engineering efforts with enterprise customers. This team works hands-on to translate advanced AI research into high-impact, real-world applications. As a Forward Deployed Engineer, you will own the technical strategy and delivery of agentic systems from initial customer discovery through production launch.
- Partner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.
- Build agentic systems using state-of-the-art models, orchestrating LLM workflows, integrating with enterprise infrastructure, and deploying reliable production systems.
- Collaborate with research teams to adapt and fine-tune models for customer-specific needs.
- Support end-to-end deployments across hybrid environments (public cloud, VPC, and on-premises), helping ensure scalability, performance, and reliability in production.
- Contribute to evolving playbooks, processes, and best practices as part of a growing Forward Deployed Engineering organization.
What We're Looking For
- Strong software engineering background with experience shipping production-grade systems (Python, Typescript)
- Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD).
- Deep understanding of machine learning concepts and hands-on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.
- 3+ years of software engineering experience delivering AI-driven enterprise solutions (e.g., Forward Deployed Engineer, Software Engineer, or Applied AI Engineer).
- Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.
- Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.
What We Offer
We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
- Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
- Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
- Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
- Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
- Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
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Get Access To All JobsTips for Finding AI Engineer Jobs at Reflection AI Jobs
Tailor your portfolio to frontier AI work
Reflection AI focuses on large-scale model training and inference systems. Before applying, document projects involving distributed training, CUDA optimization, or transformer architecture work. Generic software engineering portfolios won't differentiate you against candidates with direct LLM infrastructure experience.
Start OPT paperwork well before your offer
If you're transitioning from F-1 CPT to OPT, your DSO needs lead time to process the EAD application through USCIS, which can take 90 days or more. Delays here can push your start date back, which matters when a startup like Reflection AI is hiring to fill a role quickly.
Use Migrate Mate to target Reflection AI openings
AI Engineer roles at frontier AI companies fill fast and aren't always aggregated reliably elsewhere. Migrate Mate filters job listings by visa sponsorship type, so you can surface Reflection AI positions that match your specific immigration status without sifting through ineligible postings.
Prepare for technical depth in the interview loop
Reflection AI's engineering interviews typically go deep on systems design for ML workloads, including GPU memory management, parallelism strategies, and training stability. Arriving with concrete examples from past work, not theoretical knowledge, is what moves candidates through to offer stage.
Clarify sponsorship scope during the offer stage
Before signing, confirm in writing which visa categories Reflection AI will file for your role and whether they cover legal fees. For TN holders, verify the offered job title maps cleanly to a DOL-recognized TN profession category, since a mismatch at the border creates significant delays.
AI Engineer at Reflection AI jobs are hiring across the US. Find yours.
Find AI Engineer at Reflection AI JobsFrequently Asked Questions
Does Reflection AI sponsor H-1B visas for AI Engineers?
Reflection AI's confirmed sponsorship for AI Engineer roles covers E-3, F-1 OPT, F-1 CPT, and TN visas. There is no confirmed H-1B sponsorship on record for this role. If H-1B is your only pathway, contact Reflection AI's recruiting team directly to ask before investing time in the application process.
How do I apply for AI Engineer jobs at Reflection AI?
Applications go through Reflection AI's careers page. Because AI Engineer openings at frontier AI companies move quickly and are sometimes unlisted on general job boards, using a visa-filtered job platform like Migrate Mate helps you catch active postings matched to your sponsorship type before they close. Tailor your application to their specific technical focus areas.
Which visa types does Reflection AI commonly use for AI Engineer roles?
Reflection AI sponsors E-3 visas for Australian citizens, TN visas for Canadian and Mexican nationals, and F-1 OPT and CPT for students completing U.S. degrees. Each carries distinct filing timelines and employer obligations. E-3 and TN are employer-initiated but relatively fast to process, while OPT requires prior coordination with your university's DSO.
What qualifications does Reflection AI expect for AI Engineer roles?
AI Engineer roles at Reflection AI are built around hands-on experience with large-scale model training, inference optimization, and ML infrastructure at scale. A bachelor's degree in computer science or a related field is the baseline, but deep systems-level expertise, particularly with GPU clusters, distributed training frameworks, or compiler work for ML, carries significant weight in practice.
How do I think about timing the visa process around a Reflection AI offer?
For E-3 and TN, consular processing or border entry can move within a few weeks once your employer has the Labor Condition Application certified by DOL. For F-1 OPT, USCIS processing can take up to 90 days, so confirm your EAD start date aligns with Reflection AI's target start before accepting. Always get the employer's sponsorship commitment in writing before giving notice elsewhere.
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