Lead AI/ML Engineer (AI/ML)

Location: Cincinnati, OH or Chicago, IL; 5-day in-office work schedule

Salary: $125,000–$207,000 USD, plus variable compensation

Company

hirify.global is a retail data science, insights, and media company using first-party retail data from more than 62 million U.S. households to create personalized shopper experiences and retail media solutions.

What you will do

• Lead complex, multi-month engineering projects building and maintaining agentic AI systems across organizational domains.
• Build production-grade agent APIs, backend services, asynchronous jobs, conversation state, file storage, and enterprise integrations.
• Package agent capabilities and supporting services as reusable APIs and components for organization-wide integration.
• Develop monitoring and operational capabilities for agent behavior, response quality, data accuracy, latency, reliability, security, and scalability.
• Partner with researchers, domain experts, and platform teams to optimize and scale agentic systems using software engineering, DevOps, and AI lifecycle practices.
• Automate build, testing, deployment, evaluation, service releases, documentation, rollback guidance, code reviews, and QA sign-off.

Requirements

• Bachelor’s degree or higher in Computer Science, Computer Engineering, Software Engineering, or a related field.
• 4+ years of experience developing cloud-based software solutions and applying programming languages, software design patterns, and modern engineering technologies to production systems.
• 2+ years of hands-on experience building and maintaining scalable AI-powered applications or agentic systems.
• End-to-end software development lifecycle experience with CI/CD, automated testing, and DevOps practices.
• Experience delivering production-grade software services or agentic solutions that meet stakeholder needs.
• Knowledge of generative AI application patterns, including retrieval-augmented generation, tool use, and agent orchestration.
• Experience with managed agent platforms such as LangSmith; AI-ready data preparation, validation, metadata organization, and reliable retrieval; and managed data platforms such as Databricks or Snowflake.
• Strong Python, data engineering, data modeling, data integration, and reliable data pipeline skills.
• Experience with Kubernetes, Docker, CI/CD pipelines, and Terraform.
• Excellent technical communication, time management, project management, prioritization, and urgent problem-solving skills.

Nice to have

• 2+ years of experience with generative AI technologies.
• 2+ years of experience in tech consulting, retail, or related professional services.
• GitHub Actions, agent evaluations, prompt tuning, and Model Context Protocol (MCP) server experience.

Culture & Benefits

• Collaborative, innovative environment with professional growth and knowledge-sharing practices.
• Medical, dental, vision, wellness, and mental health support.
• 401(k) with Roth option and matching contribution, Health Savings Account matching, and supplemental insurance options.
• Five weeks of vacation, seven health and wellness days, three floating holidays, and six company-paid holidays.
• Paid maternity, paternity, and family care leave.