Research Engineer (AI)

Location: Remote first, with hiring reserved for candidates able to work within the contiguous United States and Canada; regular in-person retreats and office visits may occur.

Salary: $175,000–$195,000 annual base, plus additional On Target Earnings potential and equity.

Company

hirify.global builds institutional financial systems and vault products for onchain finance, combining traditional finance and crypto-native expertise.

What you will do

• Build evaluation frameworks for AI agents, including datasets, sandbox environments, and real-world performance metrics.
• Design experiments comparing models, agent harnesses, tools, and execution environments while measuring performance, reliability, regressions, and cost.
• Translate qualitative agent feedback into research questions, experiments, and measurable outcomes.
• Investigate failures across models, harnesses, tooling, and prompting, then develop performance improvements.
• Build agent harnesses, internal tools, integrations, and reusable knowledge and skills systems, including contributions to Aria.
• Collaborate with Infrastructure and Security to operate agents reliably and safely in production.

Requirements

• Hands-on experience building, evaluating, or improving LLM models or agents through professional work, applied research, open-source contributions, or substantial personal projects.
• Strong Python skills and software engineering fundamentals, including production-quality code, testing, maintainability, and reliability.
• Experience with applied research, machine learning, or data science, including experiment design, datasets, and result analysis.
• Understanding of LLM agents beyond prompting, including tool use, harnesses, context management, and common failure modes.
• Ability to break down open-ended problems into testable questions and work independently toward solutions.
• Experience building tools or systems used by others and evaluating their effectiveness beyond technical benchmarks.
• Ability to collaborate across research and engineering teams and adapt as priorities change.
• Genuine interest in making AI agents more capable, reliable, and useful.
• Must be able to work within the contiguous United States or Canada.

Nice to have

• Experience with LLM evaluation pipelines, benchmarks, reinforcement learning environments, or model testing infrastructure.
• Open-source contributions to agent frameworks, harnesses, evaluation datasets, or benchmarks.
• Experience with agent frameworks such as Hermes, OpenClaw, or similar tools.
• Applied ML research, model training, fine-tuning, or reinforcement learning experience.
• Advanced degree or postgraduate research in computer science, mathematics, statistics, machine learning, or a related field.
• Experience in financial markets, quantitative research, DeFi, or risk modelling.
• Familiarity with AI security, including access controls, prompt injection, and data protection.

Culture & Benefits

• Remote-first work with regular in-person company retreats and a cross-country office visit benefit.
• 100% paid medical, dental, and vision premiums for employees.
• $1,000 work-from-home stipend and monthly reimbursement for home internet, phone, and cellular data.
• Unlimited vacation, 12 weeks of fully paid parental leave, and fertility benefits.
• Opportunity for incentive compensation and company equity.