---
title: 'Forward Deployed Engineer at Trase Systems'
canonical: 'https://feeny.ai/job/forward-deployed-engineer-trase-systems-seattle-wa-preferred-or-mclean-va-or-wpc2px1qxmb7'
type: 'job'
last_seen: '2026-11-07'
---

# Forward Deployed Engineer at Trase Systems

- **Company:** Trase Systems
- **Location:** Seattle WA Preferred OR Mclean VA OR, United States
- **Work type:** remote
- **Posted:** 2026-11-03
- **Last confirmed live:** 2026-11-07
- **Apply:** https://job-boards.greenhouse.io/trase/jobs/5280393007

## Job description

## About Us

Trase is the operating system for high-stakes environments, providing end-to-end solutions for deploying, managing, and optimizing AI within industries where security, governance, and data sovereignty are non-negotiable.

Our HIPAA- and SOC 2-compliant platform bridges the “last mile” of AI adoption, empowering sectors like healthcare and national security to run trustworthy, predictable AI agents across any model or environment—whether in the cloud, on-prem, or at the edge—with unified policy enforcement, continuous monitoring, and fully immutable audit trails.

Trase’s suite of products includes Origin, its agentic operating system; Leagues, its marketplace for specialized, configurable, ready-to-deploy agents; and Arena, where developers build, evaluate, and package the agents that run on Origin. The company has repeatedly topped Hugging Face’s GAIA Leaderboard for Generalized AI Assistants, placing it firmly at the forefront of AI-agent innovation.

## About the Role

As a Forward Deployed Engineer at Trase, you’ll build and deploy AI agents and applications that solve real customer problems using Trase OS. You’ll join [Leagues](https://www.trase.ai/trase-leagues-agents), our industry verticals team, supporting customers in healthcare, state and local government and education (SLED), financial services, or retail. Your focus may be one or more of these verticals; experience in all four is not required.

This is a hands-on software engineering role with direct customer ownership. You’ll work with users to understand their workflows, turn unclear requirements into technical plans, and take solutions from prototype through production. You’ll partner closely with Product, ML, and the [Origin](https://www.trase.ai/trase-origin-os) and [Arena](https://www.trase.ai/trase-arena-sdk)engineering teams to build on Trase OS and feed customer needs back into the platform.

We are hiring at Mid, Senior and Staff levels. Level will reflect your demonstrated engineering depth, independence, and scope of ownership.

## Why This Role is Needed

Customer value depends on how well AI works within existing systems, data, and day-to-day operations. Leagues connects Trase OS to those environments and turns platform capabilities into solutions customers can use and trust.

This role exists to:

- Deliver working solutions that improve customer workflows and produce measurable outcomes.
- Bridge customer needs and platform engineering, identifying gaps early and shaping practical solutions.
- Turn successful deployments into reusable integrations and patterns that help future customers launch faster.

What makes this role challenging

- Customer environments vary in data quality, integration options, security requirements, and operational readiness.
- AI behavior must be evaluated against real workflows, including failure cases, escalation paths, and human review.
- You must balance delivery speed with reliability and maintainability, while deciding what belongs in a customer solution versus the shared platform.

## Responsibilities

- Work directly with customers to map workflows, identify useful AI applications, and agree on scope, success measures, and acceptance criteria.
- Build production-quality agents, applications, APIs, and integrations using Trase OS, including backend services and user interfaces as needed.
- Integrate customer systems, data sources, and identity providers; work with infrastructure engineers to deploy in customer or Trase-managed environments.
- Own delivery through testing, deployment, customer validation, and operational handoff. Surface dependencies, risks, and scope changes early.
- Build evaluations, automated tests, observability, and human review or escalation into agent workflows; validate quality, latency, cost, and reliability.
- Apply appropriate access controls, data-handling policies, and audit logging in partnership with Security and customer teams.
- Debug production issues across application, data, integration, and infrastructure layers; document solutions and create practical runbooks.
- Contribute reusable components and product feedback to Origin and Arena; collaborate on platform improvements rather than maintaining unnecessary custom implementations.

## Requirements

- Experience building and shipping production software, with strong coding, testing, debugging, and API design fundamentals.
- Proficiency in a modern language such as Python, Java or TypeScript, and experience with databases, backend services, and external integrations.
- Working knowledge of cloud infrastructure, containers, CI/CD, and monitoring; ability to troubleshoot deployed applications.
- Ability to translate customer needs into implementable work and communicate clearly with technical and non-technical stakeholders.
- Practical understanding of LLM applications or AI agents, including their limitations, evaluation, and safe interaction with customer data and systems.
- Ownership of delivery and quality, curiosity about customer operations, and comfort working through incomplete requirements.

## Nice to Have

- Experience as a forward deployed, product, full stack, or solutions engineer with substantial production coding responsibility.
- Domain experience in healthcare, SLED, financial services, or retail; familiarity with sensitive data and regulated customer environments.
- Experience with agent orchestration, retrieval, LLM evaluations, enterprise identity, or complex enterprise integrations.

Expectations by level:

- Engineer II (L4): Deliver scoped features and integrations with guidance; contribute to customer discovery, testing, and production troubleshooting.
- Senior Engineer (L5): Independently lead a customer workstream from discovery to production, make design decisions, and mentor engineers.
- Staff Engineer (L6): Lead complex deployments and architecture across teams, resolve broader technical risks, and establish reusable patterns across Leagues.

If you want to be on the cutting edge of technology, building AI solutions for the future, and are up for a challenge, let’s talk!

Salary Range: $150,000-240,000. This represents the typical salary range for this position based on experience, skills, and other factors.

Some travel to customers may be required. Our Trase Benefits:

For full-time roles only

- Career track opportunity with potential for rapid advancement with strong performance as the firm grows
- 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.
- Paid maternity and paternity for 14 weeks at employees' normal pay.
- Unlimited PTO, with management approval.
- Opportunities for professional development and continued learning.
- Optional 401K, FSA, and equity incentives available.
- Mental health benefits are available through [Tara Mind](https://www.taramind.com/).

We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

Applicant Data Disclosure

By submitting an application, you acknowledge that Red Cell Partners, LLC ("Red Cell") uses third-party service providers to facilitate its recruitment and hiring processes. These providers include applicant tracking systems, candidate verification platforms, and fraud detection tools (collectively, "Hiring Platforms"). Your application materials, including your résumé, cover letter, work samples, responses to application questions, and any other information you submit, may be transmitted to and processed by these Hiring Platforms for the following purposes:

- Managing and administering your application throughout the hiring process;
- Verifying the accuracy and authenticity of application materials, including by cross-referencing information you provide against publicly available sources and proprietary databases;
- Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available professional profiles, geographic anomalies, and fabricated work histories.

Applications that are flagged through this process as containing indicators of fraud or material misrepresentation may be declined from further consideration. If you have questions about the status of your application or the evaluation process, please contact talent@redcellpartners.com.

Red Cell requires its Hiring Platform providers to process your information solely for the purposes described above and in accordance with applicable law. Your information will be retained only for as long as necessary to fulfill these purposes and any applicable legal obligations, after which it will be deleted in accordance with Red Cell's data retention policies.

For more information about how your data is used, please refer to our Privacy Policy and [Applicant Privacy Notice](https://www.redcellpartners.com/applicant-privacy-policy/).

## About Trase Systems

## Company Overview
- **One-liner**: Trase provides a governed AI operating system for deploying, managing, and optimizing autonomous agents in highly regulated industries such as healthcare, government, and defense.
- **Entity Type**: Private (Seed stage – raised $107M seed round in June 2026, plus $10.5M pre-seed in November 2025)
- **Headquarters**: McLean, Virginia, United States
- **Founded**: 2023
- **Founders**: Grant Verstandig (Co-Founder & CEO) and Joe Laws (Co-Founder & Chief Architect)

## Core Business
- **Primary industry/industries**: AI agent platform, governed AI, healthcare IT, government technology, defense, energy
- **Target customers**: B2B – Enterprise, specifically health systems, defense teams, clinical trial organizations, and regulated enterprises
- **Mission or purpose statement**: "To empower elite organizations to deploy AI the right way." To be the unbreakable foundation behind the decisions that matter most.

## Products & Services
- **Trase OS**: Orchestrate, secure, and govern agents across cloud, on-prem, and edge devices. (Platform/OS)
- **Trase Arena**: Build and launch custom agents on Trase OS. (Development environment)
- **Trase Leagues**: Specialized, configurable, ready-to-deploy agents for specific use cases (e.g., healthcare, government). (Pre-built agent suites)
- **Trase SDK**: Software development kit for integrating and extending Trase capabilities. (Developer tool)
- **Trase Origin**: A component for orchestrating, securing, and governing agents across environments. (Infrastructure layer)

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding of at least $117.5M ($10.5M pre-seed + $107M seed round)
- **Notable Investors/Partners**: Early partners include Duke Health and the U.S. Navy. Specific investors are not publicly named in available sources, but the company is backed by Red Cell Partners (based on talent sourcing).
- **Growth Signals**: Headcount grew 253.3% year-over-year to 45 employees (as of mid-2026). Duke Health's cardiology division automated 1,400 monthly hours of fax processing using Trase. Topped the Hugging Face GAIA Leaderboard for Generalized AI Assistants, ahead of Google, Meta, Microsoft, and OpenAI. 9 active job postings across engineering, sales, and product.

## Competitive Advantages
- **Governance-first architecture**: Built for compliance, auditability, and data sovereignty from day one — critical for healthcare, defense, and energy.
- **Rapid deployment**: Claims "go live in less than 30 days" with pre-built agents and modular infrastructure.
- **Proven performance in regulated environments**: Already deployed in health systems and defense teams where failure is not an option.
- **99.8% annualized value creation** (as stated on website) and significant admin work reduction.

## Strategic Focus
- **Current priorities**: Scaling deployment across healthcare, government, and energy verticals; expanding agent library and governance features; building out sales and partnership teams.
- **Direction for growth**: Targeting "hundreds of millions" in future funding; deepening integrations with existing enterprise systems; expanding into national security and energy sectors.

## Why Work Here
- **Culture highlights**: Values "Integrity. Always." and a "Play to Win" mindset. Emphasis on disciplined, talented people united around a shared mission.
- **Remote/hybrid/office policy**: Hybrid and remote options available. Office locations in Seattle, WA; McLean, VA; and Durham, NC. Many roles are remote (USA) with preference for proximity to hubs.
- **Notable perks** (from careers page):
  - 14 weeks fully paid parental leave
  - 100% employer-paid health, dental, and vision for employee and family
  - Unlimited PTO
  - Competitive salary
  - Optional 401(k) and FSA plans
- **Engineering culture**: Cutting-edge work on agentic AI (top of GAIA leaderboard), with roles in platform architecture, DevSecOps, developer experience, and AI research. Fast-paced, high-growth startup environment.

## Sources
1. [Trase homepage](https://www.trase.ai/)
2. [Trase About page](https://www.trase.ai/about)
3. [Trase Careers page](https://www.trase.ai/careers/)
4. [Trase LinkedIn company page](https://www.linkedin.com/company/trasesystems)
5. [Trase Greenhouse job board](http://job-boards.greenhouse.io/trase)
6. [Axios - Trase raises $107M for health care and defense AI](https://www.axios.com/) (snippet confirmed via search)
7. [Technical.ly - McLean startup Trase raises $107M seed round](https://technical.ly/) (snippet confirmed via search)
8. [Washington Business Journal - Duke Health cardiology automation](https://www.bizjournals.com/washington) (snippet confirmed via search)

## Other roles at Trase Systems

- [Staff/Senior Staff Technical Program Manager, Federal](https://feeny.ai/job/staff-senior-staff-technical-program-manager-federal-trase-systems-seattle-wa-0d47tmsx310b) — Seattle WA OR Mclean VA Preferred OR, United States
- [Senior/Staff Full Stack Software Engineer, Federal](https://feeny.ai/job/senior-staff-full-stack-software-engineer-federal-trase-systems-seattle-wa-or-37hbaepty9ak) — Seattle WA OR Mclean VA Preferred OR, United States
- [Senior/Staff DevOps Engineer, Federal](https://feeny.ai/job/senior-staff-devops-engineer-federal-trase-systems-seattle-wa-or-mclean-va-zeq7phz6xby0) — Seattle WA OR Mclean VA Preferred OR, United States
- [Director, Production and Infrastructure Engineering](https://feeny.ai/job/director-production-and-infrastructure-engineering-trase-systems-seattle-wa-2q1t4k3ng9x2) — Seattle WA Preferred OR, United States
- [Senior/Staff Software Engineer (Platform and Execution Model)](https://feeny.ai/job/senior-staff-software-engineer-platform-and-execution-model-trase-systems-x0xvxn6qv1wq) — Seattle WA Preferred OR Mclean VA OR, United States
- [Senior/Staff DevOps Engineer, Platform Infrastructure](https://feeny.ai/job/senior-staff-devops-engineer-platform-infrastructure-trase-systems-seattle-j7phd0q1ckeh) — Seattle, WA
- [Senior Product Manager](https://feeny.ai/job/senior-product-manager-trase-systems-seattle-y1z9c675f56c) — Seattle, WA
- [Senior Enterprise Sales Executive](https://feeny.ai/job/senior-enterprise-sales-executive-trase-systems-washington-6q0vy61x0efe) — Washington, DC / Seattle, WA
- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-tailor-tokyo-s13zym93hhw0) — Tokyo, Japan
- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-reflection-new-york-x9rray3ca2qx) — New York, NY