Lead AI/ML Engineer – Agentic & GenAI Systems

8451; Cincinnati (OH); On-site; USD 180,000 - 240,000; Full time

Job summary

84.51° is seeking a Lead AI/ML Engineer (P4363) to lead complex, multi-month projects building agentic AI systems across domains. You will foster an innovative team, apply best practices, and partner with researchers and platform teams to scale AI capabilities.

The role emphasizes production-grade systems, security, observability, and reliable performance, with a 5-day in-office schedule to support collaboration and delivery.

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 focus on scalability, performance, and reliability.
• 2+ years building and maintaining scalable AI-powered applications or agentic systems.
• 2+ years of experience with generative AI technologies preferred.
• 2+ years of experience in tech consulting, retail or related professional services preferred.
• Hands-on experience across the end-to-end software development lifecycle with CI/CD, automated testing, and DevOps practices.
• Experience delivering production-grade software services or agentic solutions that meet stakeholder needs.
• Excellent communication skills, especially on technical topics.
• Strong time and project management, ability to balance multiple items.

Responsibilities

• Serve as the technical engineering lead on complex, multi-month projects to build and maintain agentic AI systems across organizational domains.
• Foster a collaborative and innovative team environment, encouraging professional growth and development among junior team members.
• Leverage software engineering patterns, frameworks, and tools to automate, deploy, and integrate generative AI and agentic solutions.
• Develop tools, processes, and operational capabilities to monitor agent behavior, data accuracy, latency, and system reliability.
• Partner with researchers, domain experts, and platform teams to optimize and scale agentic systems using DevOps and AI lifecycle best practices.
• Package agent capabilities, tools, and services as reusable APIs and components for enterprise use.
• Build, steward, and maintain production-grade agentic systems and backend services with security and observability in mind.
• Evaluate emerging generative AI frameworks and integration patterns for enterprise adoption.
• Translate business requirements into consumable agent capabilities and services balancing scale and cost.
• Reduce time to delivery through automated build, test, and deployment pipelines and coordinated releases.

Skills

Python

Kubernetes

Docker

CI/CD

Github Actions

Terraform

LangSmith

Databricks

Snowflake

Data modeling

Agent frameworks

Retrieval-augmented generation

Education

Bachelor’s degree in Computer Science / Engineering / Software Engineering

Tools

LangSmith

Databricks

Snowflake

GitHub Actions

Job description

84.51° is seeking a Lead AI/ML Engineer (P4363) to lead complex, multi-month projects building agentic AI systems across domains. You will foster an innovative team, apply best practices, and partner with researchers and platform teams to scale AI capabilities.

The role emphasizes production-grade systems, security, observability, and reliable performance, with a 5-day in-office schedule to support collaboration and delivery.