Forward Deployed Engineer

trase; United States; Remote; USD 130,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision

Parental leave

Flexible PTO

Professional development

Retirement and equity options

Job summary

trase is seeking an engineer to build and deploy AI agents and applications addressing real customer needs, from discovery to production handoff. You will connect customer systems to a shared AI platform, evaluate deployments, and turn successful work into reusable capabilities.

Hiring spans mid, senior, and staff levels, with scope reflecting experience and ownership. You will work on production-quality APIs, integrations, and platform components while collaborating with customers and

Qualifications

• Experience building and shipping production software.
• Proficiency in Python, Java, or TypeScript with API design.
• Knowledge of cloud infrastructure, containers, CI/CD, and monitoring.
• Understanding of LLM applications and AI agents and data safety.
• Ability to translate customer requirements into actionable work.

Responsibilities

• Map customer workflows and agree on solution scope, success measures, and acceptance criteria.
• Build production-quality agents, applications, APIs, and integrations, including backend services and user interfaces as needed.
• Connect customer data sources, business systems, and identity providers; help deploy in customer or managed environments.
• Lead testing, deployment, customer validation, and operational handoff, raising risks and dependencies early.
• Add evaluations, automated tests, monitoring, and human review or escalation paths to agent workflows; assess quality, speed, cost, and reliability.
• Troubleshoot issues across software, data, integrations, and infrastructure, and contribute reusable components and platform feedback.

Skills

Production software

API design

Testing

Debugging

Python/Java/TypeScript

Cloud infrastructure

CI/CD

LLM applications

Job description

Role overview

Build and deploy AI agents and applications that address real customer needs, working directly with users from discovery through production handoff. You'll connect customer systems and workflows to a shared AI platform, evaluate how solutions behave in practice, and turn successful deployments into reusable product capabilities. Hiring spans mid, senior, and staff levels, with scope reflecting experience and ownership.

Responsibilities

• Map customer workflows and agree on solution scope, success measures, and acceptance criteria.
• Build production-quality agents, applications, APIs, and integrations, including backend services and user interfaces as needed.
• Connect customer data sources, business systems, and identity providers; help deploy in customer or managed environments.
• Lead testing, deployment, customer validation, and operational handoff, raising risks and dependencies early.
• Add evaluations, automated tests, monitoring, and human review or escalation paths to agent workflows; assess quality, speed, cost, and reliability.
• Troubleshoot issues across software, data, integrations, and infrastructure, and contribute reusable components and platform feedback.

Requirements

• Experience building and shipping production software, with strong coding, testing, debugging, and API design skills.
• Proficiency in a modern programming language such as Python, Java, or TypeScript, plus experience with databases, backend services, and external integrations.
• Working knowledge of cloud infrastructure, containers, CI/CD, and monitoring.
• Practical understanding of LLM applications or AI agents, including evaluation, limitations, and safe handling of customer data and systems.
• Ability to translate incomplete customer requirements into implementable work and communicate clearly with varied stakeholders.
• A strong sense of ownership, curiosity about customer operations, and comfort troubleshooting deployed applications.

Nice to have

Experience in forward deployed, product, full-stack, or solutions engineering; familiarity with healthcare, government and education, financial services, or retail; or experience with agent orchestration, retrieval, LLM evaluation, enterprise identity, and complex integrations.

Benefits and work setup

Some customer travel may be required. Full-time benefits described in the source include employer-paid medical, dental, and vision coverage, paid parental leave, flexible paid time off subject to approval, professional development, and optional retirement, spending, and equity programs.