Senior AI Engineer (AI Automation)

Location: Remote in the United States, Toronto, Canada, or São Paulo, Brazil. Requires roughly a 6-hour overlap with 8:00am–5:00pm CT; the team rhythm also references 8:00am–5:00pm PST. No travel, onsite work, or on-call.

Company

hirify.global provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime, trace illicit activity, and build threat-network cases. TRM is a Series C distributed-first company with $220M in total funding.

What you will do

• Build agents and automations that move repetitive Product, Product Marketing, and Design work into reusable tools.
• Give non-technical teams direct access to customer insight and supporting data for better-informed decisions.
• Turn rough ideas into working prototypes within hours and ship same-day production fixes to shared agents and apps.
• Build maintained, reusable components that accelerate future development and prevent duplicated work.
• Work directly with Product, Product Marketing, Design, and Engineering across discovery, launch, and adoption.

Requirements

• Strong production software engineering skills in Python or TypeScript; the role is not limited to workflow configuration.
• Very high applied AI fluency, including building agentic solutions with current frontier models, MCP, retrieval, evaluations, and observability.
• Experience translating requirements from non-engineers and identifying the underlying need.
• Sound judgment about where AI creates value and where it does not.
• Experience building solutions that non-technical teams adopted and continued using.
• Daily use of AI-assisted coding tools such as Claude Code or Cursor.
• Senior-level ownership: independently owning problems end to end and working effectively with ambiguity.
• Applicants should be prepared to demonstrate something they have built and applied AI fluency during the interview process.

Culture & Benefits

• Fully remote and async-first, with communication through Slack and written documentation.
• Embedded collaboration with the teams served, alongside connection to AI Automation Engineering and broader Engineering standards, code review, and shared infrastructure.
• High-ownership, high-velocity environment with changing priorities, frequent collaboration, experimentation, and continuous feedback.
• Full-time employment with no required travel, onsite attendance, or on-call duties.
• The role is intended for people comfortable with ambiguity, urgency, adaptability, and a potentially intense workload.

Hiring process

• Apply directly and provide thoughtful, accurate answers to the application questions; unsolicited resumes sent to employees or through agencies may not reach the hiring team.
• The process typically includes a recruiter introduction, hiring-manager interview, first-round skills interviews, a hands-on case study, references, and an offer discussion.
• AI skills assessment and Leadership Principles interview are included in most processes; external AI tools such as interview notetakers or real-time coaching tools require prior approval.