Senior AI Engineer

Location: Atlanta, Georgia, United States of America; other location: USA-CA. Workplace type: Flexible.

Salary: USD 112,000–190,000 annually for U.S. locations excluding Puerto Rico; USD 124,000–212,000 for California, Seattle, Washington DC, Boston, and New York City roles.

Company

hirify.global is a full-stack insulin delivery company developing intelligent dosing systems and predictive diabetes-care solutions.

What you will do

• Prototype AI/ML models, LLM-powered agents, and tools against real business problems, data, and workflows.
• Build, evaluate, deploy, and drive adoption of production capabilities on the MIA stack, including Databricks, LangGraph, LangSmith, and enterprise agent platforms.
• Own capabilities from prototype through initial production release and the first monitoring cycle before handoff to Model Operations.
• Integrate agents and models with APIs, SSO/SAML/OAuth, Salesforce, SAP, and enterprise data pipelines.
• Establish reusable patterns for agent design, tool-calling, retrieval, and evaluation; review and quality-gate other engineers’ designs.
• Build for a regulated medical-device environment by addressing safety, privacy, compliance, auditability, and human-in-the-loop requirements.

Requirements

• Bachelor’s degree and at least 4 years of relevant experience, or an advanced degree and at least 2 years of relevant experience.

Nice to have

• Delivered LLM-powered systems or ML models to production.
• Strong system design and end-to-end ownership from prototyping through production deployment.
• Technical leadership experience, including reviewing and directing other engineers’ work.
• Ability to scope ambiguous problems with business stakeholders and explain latency, cost, and model-risk trade-offs to non-technical leaders.
• Hands-on experience with Databricks, LangGraph, LangSmith, vector databases, and managed RAG/retrieval.
• Forward-deployed or embedded engineering experience using real business data, workflows, and constraints.
• Experience integrating AI or software systems with complex enterprise environments, identity/authentication, systems of record, and data pipelines.
• Experience with formal MLOps practices and handoff to a model operations function.
• Experience in regulated industries such as medical devices, healthcare, or financial services, including familiarity with HIPAA, audit, and validation requirements.

Culture & Benefits

• Full-time employee position with flexible workplace arrangements.
• Competitive compensation and short-term incentive eligibility.
• Health, dental, vision, HSA, FSA, life insurance, disability coverage, paid time off, and holidays.
• 401(k) with company match, Employee Stock Purchase Plan, Employee Assistance Program, and other retirement benefits subject to eligibility.
• Equal employment opportunity and reasonable accommodations for qualified individuals with disabilities.