Applied AI Engineer (AI)

Location: Seattle, WA, United States

Salary: $130,000–$220,000 annually

Company

hirify.global builds a marketing operations system that orchestrates martech stacks, workflows, and people to automate marketing execution and support AI-native content operations.

What you will do

• Build autonomous and semi-autonomous agent workflows that interact with browsers, codebases, and APIs.
• Evaluate model behavior in live environments and develop reinforcement-learning approaches for end-to-end agent systems.
• Design modular frameworks for tools, memory, evaluators, proprietary agent libraries, prompting strategies, and benchmarks.
• Develop data pipelines to collect, transform, and annotate usage data for supervised fine-tuning and reinforcement-learning training.
• Partner with customers and internal stakeholders to understand edge cases and align AI behavior with user expectations.

Requirements

• 4+ years of software engineering experience, including at least 1 year working directly on AI/ML-powered applications.
• Strong fluency with AI tooling such as OpenAI APIs and Anthropic APIs.
• Practical understanding of LLMs, prompt engineering, and agentic architectures.
• Experience building production systems integrating external environments, including code execution, browser automation, or API orchestration.
• High ownership and comfort working in experimental, fast-moving environments.

Nice to have

• Familiarity with SWE-bench or evaluation strategies for tool-using agents.
• Experience in customer-facing roles or user research for AI product development.
• Background in reinforcement learning or data-centric AI.

Culture & Benefits

• Performance-based annual bonus and equity awards.
• Medical, dental, and vision coverage, with employee coverage fully paid and 75% dependent coverage.
• Fertility and family-planning support, 401(k), and unlimited PTO.
• Seattle office with a gym, sauna, bike parking, and free lunch three days per week.
• Flexible work hours and a collaborative environment focused on learning, ownership, and impact.

Hiring process

• Interviews evaluate independent thinking, communication, problem-solving, and practical AI literacy.
• Over-reliance on AI-generated interview responses, especially when obscuring the candidate’s own voice, may result in disqualification.