Full Stack Engineer at Virtualitics

Job description

About Virtualitics Virtualitics is the category leader in AI-native readiness applications for defense, government, and critical infrastructure. Founded on a decade of Caltech research in partnership with NASA/JPL, we are led by scientists, strategists, and servicemembers united by a single mission: to solve the world’s most complex, mission-critical challenges with AI. Our Readiness AI solutions deliver operational certainty — giving leaders and operators a clear picture of what’s ready, what’s at risk, and what to do next. By identifying risks early, diagnosing root causes, and recommending prioritized actions with transparent, explainable AI, we help organizations move from data complexity to decision advantage. Behind that impact is relentless innovation. Inventors at heart, we hold 15+ U.S. patents and are leading the shift toward agent-driven readiness. But what truly sets us apart is our culture — relentless about results, grounded in transparency, and driven by compassion for the mission and the people it serves. If you’re motivated by impact, inspired by technical depth, and ready to build AI that performs where it matters most — you’ll find your mission here. Location: Remote, with hybrid options. Preferred hybrid locations are Washington, D.C., New York City, or Detroit. Why this role: Unlike engineers on many enterprise platform teams, you won't be building one generic product rolled out unchanged to every customer. You partner directly with Machine Learning engineers to scale and adapt novel models to the specific, often unique problems a customer is facing — then you build the application layer that puts that model in front of real analysts and decision-makers. It's a chance to work close to the ML research and see your code shape how a customer actually solves a hard problem. Responsibilities: We are a small, fast-moving team where engineers own features end-to-end. We are seeking a fullstack engineer who thrives on building polished, responsive interfaces, can comfortably navigate backend services, APIs, and infrastructure. You will regularly partner with DevOps, QA, Product, Design, and AI teams - translating technical tradeoffs for non-engineers, incorporating design and product feedback, and flagging risks early. This is a remote position, but may require on-site travel to customer sites. *Candidates must possess and active US Government Security Clearance (SECRET or higher) Skills (Must Have) Own features from design handoff through production—scoping, building, testing, deploying, and iterating based on real user feedback, in close collaboration with Product, Design, and customers throughout. Build and maintain React frontends that handle complex data visualization, real-time updates, and enterprise-grade UX. (React/Redux, Typescript, Vite, MUI) Work across the stack, including Python backend services (Quart/FastAPI), PostgreSQL, Redis, S3, and async task queues. Write code that other engineers can confidently modify and maintain (future looking code), ensuring clear structure and intent - and communicate design decisions clearly to teammates who will build on top of your work. Identify problems before they are assigned, proposing solutions, building prototypes, and pushing improvements forward without waiting for an explicit ticket. Collaborate effectively across functions — working directly with QA to define test coverage, with DevOps on deployment and infrastructure needs, and with Product to clarify requirements andmsurface tradeoffs before they become blockers. Skills (Nice to Have) Experience with AWS, Docker, Kubernetes, Terraform. Experience in Data Science, Machine Learning, or Data Visualization, especially data engineering. Experience with build automation tools (i.e. Github Actions, Gitlab). Experience with scripting languages (i.e. bash). Startup experience on a growing team, and a desire to mentor more junior engineers. What we offer you At Virtualitics, you’ll join a high-performance team of scientists, strategists, and servicemembers building AI that operates in the world’s most demanding environments. The problems we solve matter — and so does the opportunity to grow while solving them. You’ll have meaningful ownership from day one, with the ability to accelerate your career alongside a company scaling rapidly in national security and critical infrastructure. We offer highly competitive compensation, meaningful equity participation, and fully paid medical, dental, and vision coverage for you and your dependents. Our benefits also include unlimited PTO and flexible work arrangements, with remote flexibility and hybrid options for team members based in the Los Angeles or Washington, DC areas.

Requirements

Must-haves

Unlike engineers on many enterprise platform teams, you won't be building one generic product rolled out
unchanged to every customer. You partner directly with Machine Learning engineers to scale and adapt novel
models to the specific, often unique problems a customer is facing — then you build the application layer that puts
that model in front of real analysts and decision-makers. It's a chance to work close to the ML research and see
your code shape how a customer actually solves a hard problem.
We are a small, fast-moving team where engineers own features end-to-end. We are seeking a fullstack engineer
who thrives on building polished, responsive interfaces, can comfortably navigate backend services, APIs, and
infrastructure. You will regularly partner with DevOps, QA, Product, Design, and AI teams - translating technical
tradeoffs for non-engineers, incorporating design and product feedback, and flagging risks early.
This is a remote position, but may require on-site travel to customer sites.
Candidates must possess and active US Government Security Clearance (SECRET or higher)
Skills (Must Have)
Own features from design handoff through production—scoping, building, testing, deploying, and iterating based on real user feedback, in close collaboration with Product, Design, and customers throughout.
Build and maintain React frontends that handle complex data visualization, real-time updates, and enterprise-grade UX. (React/Redux, Typescript, Vite, MUI)
Work across the stack, including Python backend services (Quart/FastAPI), PostgreSQL, Redis, S3, and async task queues.
Write code that other engineers can confidently modify and maintain (future looking code), ensuring clear structure and intent - and communicate design decisions clearly to teammates who will build on top of your work.
Identify problems before they are assigned, proposing solutions, building prototypes, and pushing improvements forward without waiting for an explicit ticket.
Experience with AWS, Docker, Kubernetes, Terraform.
Experience in Data Science, Machine Learning, or Data Visualization, especially data engineering.
Experience with build automation tools (i.e. Github Actions, Gitlab).
Experience with scripting languages (i.e. bash).
Startup experience on a growing team, and a desire to mentor more junior engineers.
What we offer you

Nice-to-haves

Skills (Nice to Have)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlreacttypescriptpythonawsdockerkubernetes

Platform: lever
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

Pto