Forward Deployed Engineer

Trase Systems • Seattle, VA

4d

About The Position

As a Forward Deployed Engineer at Trase Systems, you will build and deploy AI agents and applications using Trase OS to solve customer problems. You will join Leagues, the industry verticals team, supporting customers in healthcare, state and local government and education (SLED), financial services, or retail. The role is hands-on software engineering with direct customer ownership: you will understand customer workflows, turn unclear requirements into technical plans, and take solutions from prototype through production. You will partner with Product, ML, and the Origin and Arena engineering teams, and bring customer needs back into the platform. Hiring is at mid, senior, and staff levels, based on engineering depth, independence, and scope of ownership.

The role connects Trase OS to customers’ existing systems, data, and operations, turning platform capabilities into usable, trusted solutions. Customer environments vary in data quality, integration options, security requirements, and operational readiness. The engineer must evaluate AI behavior against real workflows, including failure cases, escalation paths, and human review, while balancing delivery speed, reliability, maintainability, and the distinction between customer-specific work and shared platform capabilities.

Some travel to customers may be required. The stated salary range is $150,000–$240,000, depending on experience, skills, and other factors.

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, with the 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 Haves

• 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.

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, and 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, collaborating on platform improvements rather than maintaining unnecessary custom implementations.

Benefits

• 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 employees and their families.
• Paid maternity and paternity leave for 14 weeks at employees' normal pay.
• Unlimited PTO, with management approval.
• Opportunities for professional development and continued learning.
• Optional 401(k), FSA, and equity incentives available.
• Mental health benefits available through Tara Mind.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed