# Lead AI/ML Engineer (P4363) **Company**: 84.51° **Location**: Cincinnati, OH **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: $125,000-$207,000 USD **Category**: Engineering **Industry**: Technology **Wikidata**: https://www.wikidata.org/wiki/Q114757332 **Apply**: https://job-boards.greenhouse.io/8451/jobs/8924511002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/job/lead-ai-ml-engineer-p4363-a49a5c50-97c/ ## Description ### Overview We are seeking a Lead AI/ML Engineer to join our team at 84.51°, a retail data science, insights and media company that helps The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers. ### 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 established 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, response quality, data accuracy, latency, and system reliability. - Partner with researchers, domain experts, and platform teams to optimize and scale agentic systems using software engineering, DevOps, and AI lifecycle best practices. - Package agent capabilities, tools, and supporting services as reusable APIs and components that can be integrated across the organization. - Build, steward, and maintain production-grade agentic systems and supporting backend services, including agent APIs, asynchronous jobs, conversation state, file storage, and enterprise integrations, with a focus on security, reliability, observability, scalability, and performance. - Evaluate emerging generative AI and agent frameworks, orchestration patterns, protocols, and tooling to identify opportunities for enterprise adoption and evolve existing systems. - Translate business requirements into consumable agent capabilities and services, balancing scale, risk, response quality, latency, and cost to maximize value. - Reduce time to delivery through automated build, test, and deployment pipelines, coordinated service releases, continuous evaluation, and user feedback and monitoring practices. - Responsible for code reviews and QA sign off. - Maintain technical documentation, version control, deployment and rollback guidance, and knowledge-sharing practices to support collaboration and operational continuity. - Make time-sensitive decisions and solve urgent problems without escalation. ### Qualifications, Skills, and Experience - 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 an understanding of design for scalability, performance, and reliability. - 4+ years of experience applying programming languages, software design patterns, and modern engineering technologies to build production solutions. - 2+ years of hands-on experience 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, using CI/CD, automated testing, and DevOps practices to develop, deploy, and maintain scalable solutions. - Experience delivering production-grade software services or agentic solutions that meet stakeholder needs. - Excellent communication skills, particularly on technical topics. - Strong time and project management skills; the ability to balance multiple, simultaneous work items and prioritize as necessary. - Knowledge of generative AI application patterns, including retrieval-augmented generation, tool use, and agent orchestration, is highly preferred. - Experience working with a managed agent platform, such as LangSmith, to support agent deployment, tracing, evaluation, and lifecycle management. - Experience working with AI-ready data, including preparing, validating, and organizing governed data and metadata for reliable retrieval, context grounding, and agent use. - Experience working with a managed data platform, such as Databricks or Snowflake. - Strong skills in Python. - Strong data engineering and data modeling skills, including integrating data sources and building reliable data pipelines. - Kubernetes & Docker experience. - CI/CD Pipeline experience; Github Actions a plus. - Terraform experience. - Experience writing agent evaluations is a plus. - Experience with prompt tuning is a plus. - Experience working with Model Context Protocol (MCP) servers is a plus. ### Pay Transparency and Benefits - The base pay range for this position is $125,000 - $207,000 USD. - We offer a comprehensive benefits package, including: + Health: Medical, dental, and vision benefits. + Wealth: 401(k) with Roth option and matching contribution, Health Savings Account with matching contribution. + Happiness: Paid time off, paid leave for maternity, paternity, and family care instances. For more fresh new jobs, check out [yubhub.co](https://yubhub.co/). ## Skills ### Required - Python - Kubernetes - Docker - Terraform - CI/CD Pipeline - Databricks - Snowflake - Generative AI - Agentic Systems - Software Engineering - DevOps ### Nice to have - LangSmith - MCP servers - Agent evaluations - Prompt tuning --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/8451/jobs/8924511002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)