Who we are
At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our platform integrates a streamlined model and app development environment, advanced model, agent, and app hosting capabilities, and novel governance capabilities providing regulator-ready AI at scale. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for over a decade but are still a small team operating with the spirit of a startup. In the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit www.domino.ai
What your impact will be
As a new-grad Forward Deployed Engineer at Domino, you will work directly with customers to uncover some of the largest challenges to AI adoption in highly regulated industries, and learn how to leverage the Domino platform to build solutions for mission-critical business operations. FDEs blend applied AI engineering and software engineering skills with customer empathy and domain awareness. You will partner with experienced FDEs to move quickly from an ambiguous customer problem to a real solution, whether that means a RAG pipeline, an agentic workflow with automated evaluation, or a software solution that automates a customer's internal processes.You will write code, design systems end to end, and deliver impact in high stakes environments from healthcare and life sciences to finance, government and beyond.
At Domino, we trust our new-grad engineers to contribute to critical and high-visibility projects from the start. You’ll have the opportunity to make a meaningful impact on your team and the company as a whole beginning on day one.
What we look for in this role
- “Act fast, own it” mentality: We move fast, and need people who are driven, motivated, and bold.
- Passion for AI/data engineering, software engineering, large language models, and real world applications
- Proficiency in Python is required, additional experience with R, Java, or C/C++ is a plus
- Exposure to building applied AI systems such as RAG pipelines, agentic workflows, or model evaluation, through coursework, internships, or personal projects
- Comfort picking up container concepts such as Docker and Kubernetes, and basic familiarity with a cloud provider such as AWS, Azure, or GCP
- Strong communication and problem solving skills, with an interest in customer facing work
- Graduating in Spring 2027, pursuing a Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field
What we value
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
- We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
- We believe in individuals who seek truth and speak the truth and can be their whole selves at work
- We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything
- We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
Visa Sponsorship: Visa sponsorship (including H-1B and other employment-based visa categories) may be available for this position depending on business considerations and the role's requirements. Sponsorship eligibility is assessed on an individual basis and is not guaranteed for any role or candidate. All applicants are encouraged to apply regardless of current or future immigration status.
#LI-Remote
The annual US base salary range for this role is listed below. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. In addition to base salary, this role may be eligible for a sign-on bonus and/or relocation assistance, which are not reflected in the salary range listed below. Additional benefits for this role may include: equity; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.