Forward-Deployed AI Engineer

About the opportunity Our hiring partner is a YC-backed fintech company building banking and payment automation for the construction industry. The company is looking for an experienced engineer to own the internal AI systems already used by its engineering, fraud, customer support, and operations teams. This is a hands-on production engineering role, not developer relations, training, or a prompt-only position. What you will own Maintain, harden, and extend an internal AI harness, including evaluations, tool integrations, agent skills, sandboxes, and reliability controls. Own AI-powered back-office systems used in fraud and customer-support workflows, working directly with operations when case handling needs improvement. Standardize engineering environments across repositories, virtual environments, VMs, secrets, language toolchains, agent runtimes, and development tools. Keep shared agent skills and repo instructions accurate, versioned, reviewed, and retired when they become stale. Prepare repositories for both engineers and coding agents through reproducible environments, task runners, test entry points, linting, fixtures, and clear contracts. Build lightweight jobs that surface daily signals on delivery, review quality, test health, agent usage, and recurring engineering bottlenecks. Introduce practical, low-friction processes for pull requests, agent-assisted reviews, skill promotion, and quality control. Work closely with engineers and operations users, investigate failures firsthand, and improve the harness, tooling, or back-office software. What we are looking for 6+ years of professional software engineering experience shipping production systems. Evidence of hands-on work in this area, such as an agent harness, evaluation framework, reusable agent-skill system, or meaningful open-source contribution. Experience setting up reliable development environments and repositories for other engineers, not only for personal use. Strong practical engineering ability in Python, TypeScript, or comparable languages, plus CI, automation, scrapers, tool servers, sandboxes, and operational interfaces. A production mindset for AI harnesses, agent skills, evaluations, and back-office workflows: versioned, tested, reviewed, monitored, and maintained. Comfort operating independently in a small team without a large platform or developer-productivity organization. Strong written and spoken English and the ability to collaborate directly with engineering and operations stakeholders. Bonus points Experience rolling out shared Cursor, Claude Code, Codex, or similar agent-assisted engineering workflows across a team. Published evaluations, software-engineering benchmark loops, or sandbox and VM runners. Contributions to coding-agent or agent-framework ecosystems. Experience bringing AI into fraud, customer-support, or other operational workflows. Fintech, payments, banking, or another regulated-industry background. Location and work authorization Remote within the United States or Canada, with an in-person option in Austin, Texas. Canadian citizens who qualify for TN status may be considered for the U.S. location. No other visa sponsorship is available; candidates must meet the applicable work-authorization requirements. Compensation and benefits Canada remote: CAD 150,000–250,000. US remote: USD 125,000–175,000. Equity: 0.25%–0.50%, with flexibility between cash and equity for the right person. Medical, dental, and vision coverage, 401(k), reasonable paid time off, and equipment. Application and interview process Please include a resume, GitHub or LinkedIn profile, and a direct link to a relevant harness, evaluation project, agent-skill system, or open-source contribution. Include a short note describing what you have shipped, how you made engineers or operations teams more effective, and what you would inspect first in an existing AI harness and back-office environment. The process includes a brief founder screen, a working session focused on a harness, back-office, or environment problem, conversations with engineers, and references.