Staff Forward Deployed Engineer, AI
$156,000–$215,000 year
RemoteUnited States
Job Summary
Embed with a functional department to run discovery on workflows and pain points, then scope, design, and build full-stack custom applications using modern frameworks, AI coding assistants, and internal APIs. Own delivery end to end, including architecture, testing, deployment, and stakeholder training to ensure adoption. Work hands-on in code alongside tools like Claude Code and Codex to compress build cycles, making explicit trade-offs between scope, speed, and quality as requirements shift. Partner with IT, Security, and Data teams to meet compliance standards, then codify recurring patterns into reusable building blocks for the broader engineering organization. Feed field learnings back to platform and product teams while measuring success through production adoption and business impact.
Required Qualifications
- 5 or more years of professional software engineering experience with a demonstrated ability to design, build, and ship full-stack applications (frontend and backend) independently
- Proficiency in at least one modern backend language (Python, Node.js/JavaScript, or comparable)
- Enough frontend ability to build usable internal tools without waiting on a dedicated design or frontend team
- Hands-on experience using AI coding assistants and LLM-based tools (Claude Code, Cursor, Codex, etc.) to accelerate development
- A working understanding of APIs, webhooks, data structures, and integration patterns
- A track record of working directly with non-technical stakeholders including scoping ambiguous requests, managing expectations, and shipping something real rather than a deck
- Comfort operating with significant autonomy and shifting priorities across departments and problem spaces where the right solution is rarely handed to you
- Strong communication skills with the ability to explain technical trade-offs to a functional VP as easily as to a fellow engineer
- Prior experience in a forward-deployed, solutions engineering, professional services, or startup generalist role where you owned a project from discovery through production
- Exposure to enterprise security, compliance, or data governance requirements given the internal, security-conscious environment you will be building in
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