Forward Deployed Engineer

Co-founded in 2023 by Joe Laws and Grant Verstandig Trase Systems is AI Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying managing and optimizing AI in the enterprise. Our platform specializes in bridging the last mile of AI adoption unlocking AIs full potential while driving efficiency and significant cost savings. Trase is at the forefront of AI Agent innovation topping the Hugging Face GAIA Leaderboard for Generalized AI Assistants ahead of industry giants such as Google Meta Microsoft and OpenAI. We are leveraging our cutting-edge technologies to develop mission-critical agentic applications in complex industries such as Healthcare Oil & Gas and National Security.

As a Forward Deployed Engineer at Trase youll build and deploy AI agents and applications that solve real customer problems using Trase OS. Youll join Leagues 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. Youll work with users to understand their workflows turn unclear requirements into technical plans and take solutions from prototype through production. Youll partner closely with Product ML and the Origin and Arena 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.

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.

• 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.

• 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.

• 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.

• 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.

• 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 lets talk!

Salary Range: $00. 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 withstrong performanceas 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.

Were an Equal Opportunity Employer: Youll 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.

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