> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Full Stack Engineer

Canonical URL: https://nextmove.md/fde/jobs/a805752154580f12

Virtualitics posts a FDE role to build what the customer runs in US with no pay posted. Build full-stack customer-facing applications that adapt novel machine-learning models to complex, customer-specific problems for analysts and decision-makers. Read from the employer’s posting on November 8, 2026.

- [Virtualitics](https://nextmove.md/fde/companies/virtualitics)

Posted Aug 27, 2026 by Virtualitics · open on Lever as of Nov 8, 2026

Pay not posted US +3 Remote Full-time

Build full-stack customer-facing applications that adapt novel machine-learning models to complex, customer-specific problems for analysts and decision-makers.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fa805752154580f12&placement=top)
- [View posting at Virtualitics](https://jobs.lever.co/virtualitics/b74f87bc-59ad-49cf-a6c5-9361e3bbb19b/apply)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

Not posted

Mid-level FDE postings, 106 postings: the middle 50% of posted pay is $123K to $162K, median $149K.

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept
3. Implementation
4. Operations

Travel **Required, amount not stated**

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Mid

- **Role**: Individual contributor

### Do you meet what the posting states?

The posting reads as a mid-level role. What level are you at now?

The work is remote from the US. Can you work from the US?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: US · Washington, D.C. · New York City · Detroit, Michigan

- **Work arrangement**: Remote

- **Remote work restrictions**: Remote; hybrid options noted for Washington, D.C., New York City, and Detroit. On-site travel to customer sites may be required.

- **Employment type**: Full-time

- **Travel**: Travel required, amount not stated

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## The job description from Virtualitics

Posted by Virtualitics on Aug 27, 2026

### 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.

[View posting at Virtualitics](https://jobs.lever.co/virtualitics/b74f87bc-59ad-49cf-a6c5-9361e3bbb19b/apply)

## About Virtualitics

Virtualitics builds AI readiness applications that turn defense and government data into explainable operational decisions.

Series C · 100–200 people

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Pay not posted

- [Compare mid FDE salary ranges](https://nextmove.md/fde/salary/mid-level)
- [Similar jobs in New York metro](https://nextmove.md/fde/jobs?region=nyc-metro)
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