Software Engineer II (AI)

Location: Greater Seattle Area, United States

Base pay for Washington applicants: $134,961–$188,945.40 annually; other site ranges may differ.

Company

hirify.global develops reusable, safe, and low-cost space vehicles and systems, with Enterprise Technology providing digital infrastructure for spaceflight and manufacturing operations.

What you will do

• Develop tools and applications that automate manufacturing processes and standardize performance benchmarks.
• Design, implement, and deploy enterprise-scale systems and services supporting operations.
• Use AI technologies, including LLMs and computer vision models, to improve automation and enterprise applications.
• Develop integration documentation, identify enterprise-system gaps, and create remediation plans.
• Apply DevOps technologies to solve software automation problems and share expertise in performance, scalability, architecture, and engineering standards.

Requirements

• BA/BS in computer science, information science, or a related field, or equivalent practical experience.
• At least 3 years of professional software development engineering experience and strong software engineering fundamentals.
• Java, Python, JavaScript, or C# as a primary programming language.
• Experience with backend frameworks such as Spring, Spring Boot, FastAPI, Django, Express, or similar frameworks.
• Frontend experience with React, TypeScript, JavaScript, and modern tooling and frameworks.
• Experience developing production APIs, standing up servers, databases, and enterprise applications, and migrating software from development to production.
• Strong SQL and database knowledge, familiarity with version control, and experience solving complex problems with AI tools and AI-powered workflows.
• Ability to take technical ownership, identify requirements, propose solutions, collaborate, and communicate effectively.
• Applicants must be U.S. citizens or nationals, U.S. permanent residents, or lawfully admitted refugees or asylees. A standard background check is required.

Nice to have

• Familiarity with AWS, Azure, or other cloud infrastructures.
• Expertise deploying applications with software DevOps practices.
• Understanding of ERP, MES, and other manufacturing software.
• Interest in manufacturing, IIoT, and Generative AI systems.

Culture & Benefits

• Full-time employment in a safety-focused, collaborative, and inclusive workplace.
• Medical, dental, vision, life insurance, disability coverage, paid parental leave, and an education support program.
• 401(k) with company matching up to 5%, stock options for regular employees working at least 20 hours per week, up to four weeks of paid time off, and up to 14 company-paid holidays.
• Additional benefits or bonuses may depend on role type and job level and are not guaranteed.