AI Process Automation Engineer (AI)

TL;DR

AI Process Automation Engineer (AI): Designing, developing, and maintaining AI-driven process automation tools and internal applications with an accent on custom integrations and workflow optimization. Focus on writing clean, efficient, and scalable code in TypeScript and Python, troubleshooting complex systems, and contributing to experimental AI projects.

Location: Remote (USA). Compensation for this role is influenced by geographic market, specifically mentioning a salary range for candidates based in Washington State.

Salary: $125,000–$135,000 annually (Washington State)

Company

hirify.global is a technology solutions firm headquartered in Bellevue, Washington, focused on unlocking value from existing assets using cutting-edge technology.

What you will do

• Design, develop, and maintain AI-driven process automation tools and internal applications.
• Build, test, and deploy custom integrations and workflows using scripting and automation frameworks.
• Collaborate with program managers and stakeholders to identify automation opportunities.
• Write clean, efficient, and scalable code primarily in TypeScript, Python, Go, or Bash.
• Gather requirements, document specifications, and create proof-of-concept solutions.
• Conduct unit and integration testing, troubleshoot production issues, and ensure high-quality deliverables.
• Contribute to experimental AI projects aimed at enhancing productivity and redefining collaboration.

Requirements

• 8–10 years of professional software development experience with proven coding proficiency.
• Strong experience in TypeScript and Python for automation and integration development.
• Hands-on experience with GitHub Actions, CI/CD pipelines, or similar automation tools.
• Proficiency with process automation, AI integration, and workflow optimization.
• Experience scripting in Go or Bash for system-level automation.
• Solid understanding of software engineering principles, including data structures, algorithms, and software design.
• Demonstrated ability to troubleshoot, test, and maintain large-scale or complex systems.
• Excellent problem-solving, analytical, and documentation skills.

Nice to have

• Experience with Microsoft 365, Power Platform, or other enterprise collaboration ecosystems.
• Background in internal tooling, consulting, or platform engineering within large organizations.
• Familiarity with building AI-assisted or machine learning-enabled automation workflows.
• Ability to design and implement scalable solutions that integrate across multiple systems or APIs.
• Bachelor’s degree in Computer Science, Computer Engineering, or related technical field.

Culture & Benefits

• Medical, dental, and vision coverage.
• Flexible Spending Account and 401k program.
• Competitive PTO offerings and Parental Leave.
• Opportunities for professional growth and development.
• Emphasis on unique perspectives, diverse skillsets, and backgrounds.
• Work with multiple clients and teams, such as data science and product development.