Senior Engineer (AI Agents)

Location: Fully remote; relocation to Germany is possible.

Company

hirify.global helps restoration professionals document damaged properties and convert 360° imagery into floor plans and repair estimates, supporting tens of thousands of claims monthly.

What you will do

• Identify drafting, review, defect-checking, and order-triage tasks where automation can reduce costly errors, working with experienced drafters.
• Design agent tools and strategies, selecting models and determining when to use structured floor-plan data, imagery, geometry, or ordinary code.
• Build evaluations from real properties and expert drafting and review; measure task-specific errors, compare approaches, and determine readiness for wider use.
• Write Python services and integrations that bring agent output into the drafting workflow, debugging across service boundaries and balancing cost, latency, and reliability.
• Investigate failed plans, missed defects, and false alarms, then improve the agent and add representative cases to evaluation sets.

Requirements

• 4+ years of hands-on technical work, including relevant experience in military or national-service technology units; Python must be a working language.
• Experience with machine learning, data science, deep learning, backend engineering, or production services and infrastructure is valued.
• Hands-on experience building agents at work or independently, with the ability to explain tool, context, execution, and validation choices.
• Ability to turn observed failures into useful test cases, distinguish meaningful metrics from misleading ones, and work with domain experts when correctness requires judgment.
• Initiative to identify important problems, reduce them to shippable solutions, and follow them into real use.
• Fluency with coding agents for building, testing, and debugging software, with responsibility for inspecting and explaining shipped code.
• English is the working language.

Nice to have

• Experience with visual reasoning, multimodal models, or geometry.
• Experience with a particular agent framework is not expected.

Culture & Benefits

• Fully remote work, with relocation to Germany possible.
• Collaboration with experienced drafters who review agent output and help trace errors.
• Flexible employment arrangements.
• AI-forward environment with generous token budgets.
• Profitable company.

Hiring process

• HR interview, followed by a short hiring-manager interview.
• Take-home assignment, then a deep hands-on technical interview involving agent building.
• Executive interview. The application should describe an agent built, an engineering decision that changed its capabilities, and how the result was validated; proprietary work may be described without confidential information, and a public repository is optional.