Lead AI/ML Engineer: Agentic Systems Lead

84.51°; Cincinnati, Chicago (OH, IL); On-site; USD 125,000 - 207,000; Full time

Job summary

84.51° in Cincinnati seeks a Lead AI/ML Engineer to steer the design, development, and deployment of agentic AI systems across organizational domains. You will mentor engineers and collaborate with researchers and platform teams to scale capabilities.

You will translate business needs into scalable APIs, monitor performance, data quality, latency, and reliability, and drive DevOps practices. Proven cloud software and AI experience, strong Python, Kubernetes, and data platform skills are

Qualifications

• 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 with emphasis on scalability, performance, and reliability.
• 2+ years of hands-on experience building and maintaining scalable AI-powered applications or agentic systems.
• 2+ years of experience with generative AI technologies.
• Experience with end-to-end SDLC, CI/CD, automated testing, and DevOps practices.

Responsibilities

• Serve as the technical engineering lead on complex, multi-month projects to build and maintain agentic AI systems.
• Foster a collaborative and innovative team environment and mentor junior members.
• Automate, deploy, and integrate generative AI and agentic solutions using established patterns and tools.
• Develop tools and pipelines to monitor agent behavior, data accuracy, latency, and reliability.
• Package agent capabilities as reusable APIs and components across the organization.
• Build production-grade agentic systems and backend services with security and observability in mind.

Skills

Python

Kubernetes

Docker

CI/CD (GitHub Actions)

Terraform

LangSmith

Databricks

Snowflake

AI lifecycle

Data engineering

Education

Bachelor's degree in Computer Science or related field

Tools

LangSmith

Databricks

Snowflake

Job description

84.51° in Cincinnati seeks a Lead AI/ML Engineer to steer the design, development, and deployment of agentic AI systems across organizational domains. You will mentor engineers and collaborate with researchers and platform teams to scale capabilities.

You will translate business needs into scalable APIs, monitor performance, data quality, latency, and reliability, and drive DevOps practices. Proven cloud software and AI experience, strong Python, Kubernetes, and data platform skills are