AI Engineer (Agentic AI)

Location: Remote within the United States; hybrid for New York City-based candidates

Salary: $200,000–$300,000 base plus equity

Company

hirify.global is a specialist recruitment partner connecting AI, machine learning, data, and engineering talent with technology companies.

What you will do

• Build and deploy production AI agents that automate complex enterprise workflows.
• Own technical problems from customer discovery and source-system analysis through architecture, implementation, and production.
• Integrate fragmented operational data and software systems into reliable foundations for AI applications.
• Design reusable, scalable solutions rather than one-off customer deployments.
• Contribute to platform capabilities for business context, data representation, agent orchestration, and autonomous execution.
• Work directly with customers to define requirements, challenge assumptions, and identify required data or system changes.

Requirements

• Hands-on experience building AI agents deployed inside a real company or product; side-project-only experience is insufficient.
• Strong backend software engineering fundamentals, ideally combined with applied machine learning or modern AI engineering experience.
• Experience owning important parts of systems and taking ambiguous problems from high-level goals through technical design and working product.
• Experience in an early-stage or fast-moving startup environment where breadth, speed, and judgment matter.
• Ability to move between AI, software, data, and product problems and contribute to both customer-facing delivery and an internal platform.
• Strong communication skills for working directly with customers on ambiguous business and technical problems.
• Broad engineering capability rather than highly specialized experience limited to one area of the machine learning lifecycle.
• High learning velocity, strong technical judgment, and a preference for ownership over narrowly scoped execution.

Culture & Benefits

• Permanent position with significant ownership and product influence.
• Small, experienced, highly technical team with limited hand-holding.
• Work on technically difficult agent, data, and enterprise-system problems tied to measurable customer outcomes.
• Opportunity to develop broad technical and commercial experience alongside equity participation.