Software Engineer (AI/ML)

Location: Remote, US, Massachusetts

Salary: $134,000–$158,000 USD base salary annually for a full-time schedule; total compensation also includes bonus or commission, equity, and benefits.

Company

hirify.global develops an Enterprise AI and Process Intelligence platform powered by the hirify.global Context Model, which combines process data, business knowledge, and intelligence into a digital twin of the enterprise.

What you will do

• Design and develop backend product features aligned with the product and engineering roadmap.
• Build cloud-based platform capabilities for AI agentic workflows, including tool-calling APIs, workflow orchestration, observability, and production guardrails.
• Scale APIs and workflows using robust distributed-systems principles.
• Design for fault tolerance, high availability, performance, and scalability.
• Ensure platform services are operationally ready and meet customer service-level commitments.
• Collaborate with teammates through code reviews, knowledge sharing, and engineering mentorship.

Requirements

• 3+ years of industry experience building distributed systems, cloud-based API services, or enterprise cloud data platforms.
• Strong computer science fundamentals and proficiency in Python.
• Experience developing reliable, enterprise-grade software or services.
• Experience with SQL and databases such as PostgreSQL, DynamoDB, or Amazon RDS.
• Ability to collaborate in a team and mentor engineers through the software development life cycle.
• Familiarity with data warehouse or data lake architecture and large-scale data processing.
• Visa sponsorship is not offered for this role.

Nice to have

• Experience with distributed computing frameworks for machine learning workloads.
• Familiarity with Ray.

Culture & Benefits

• Flexible hybrid work model balancing remote work with office collaboration.
• Restricted Stock Units and merit-based refresh grants for full-time employees.
• Paid parental leave, generous or unlimited PTO where applicable, and paid time off for volunteering.
• Learning framework, mentorship programs, and access to a dedicated learning platform.
• Wellbeing support including Wellhub memberships, mental health counseling, and Wellness Weeks.
• Inclusion programs and values centered on customer value, teamwork, ownership, and sustainability.