8 days ago
Base Salary
$125k - $207k/yr
Responsibilities
- Lead complex, multi-month engineering projects to build, maintain, and scale agentic AI systems.
- Develop reusable agent capabilities, APIs, backend services, asynchronous jobs, conversation state, file storage, and enterprise integrations.
- Build monitoring and operational capabilities for agent behavior, response quality, data accuracy, latency, reliability, and observability.
- Evaluate and adopt generative AI and agent frameworks, orchestration patterns, protocols, and tooling.
- Translate business requirements into scalable agent capabilities while balancing risk, quality, latency, cost, and value.
- Automate build, testing, deployment, service releases, continuous evaluation, monitoring, and rollback processes.
- Partner with researchers, domain experts, and platform teams; conduct code reviews, provide QA sign-off, and mentor junior team members.
- Maintain technical documentation and make time-sensitive decisions to resolve urgent production problems.
Requirements
- Bachelor’s degree or higher in Computer Science, Computer Engineering, Software Engineering, or a related field.
- At least 4 years of experience developing cloud-based software solutions and applying software design patterns to production systems.
- At least 2 years of hands-on experience building and maintaining scalable AI-powered applications or agentic systems.
- Strong Python, data engineering, data modeling, software lifecycle, automated testing, and DevOps skills.
- Experience delivering production-grade software services, scalable data pipelines, and AI-ready governed data for retrieval and agent use.
- Experience with managed agent platforms such as LangSmith and managed data platforms such as Databricks or Snowflake.
- Experience with Kubernetes, Docker, Terraform, CI/CD pipelines, and version-controlled deployment practices.
- Knowledge of retrieval-augmented generation, tool use, agent orchestration, and scalable system design.
- Preferred qualifications include 2+ years of generative AI experience, tech consulting, retail, or related professional services experience; GitHub Actions, agent evaluations, prompt tuning, and Model Context Protocol server experience.
- Excellent technical communication, time management, project management, prioritization, and problem-solving skills.
Benefits
- Five-day in-office work schedule.
- Medical, dental, vision, wellness, and mental health support.
- 401(k) with Roth option and matching contribution, health savings account matching, AD&D, and supplemental insurance options.
- Paid time off including 5 weeks of vacation, 7 health and wellness days, 3 floating holidays, and 6 company-paid holidays annually.
- Paid maternity, paternity, and family care leave.
- Eligible for variable compensation in addition to base salary.
Tech Stack
Categories
About 84.51˚
84.51° is a retail data science, insights, and media company that builds analytics platforms and retail media solutions for The Kroger Co. and consumer packaged goods brands. It commercializes Kroger first-party loyalty data through products such as 84.51° Insights and Kroger Precision Marketing to support targeting, measurement, and merchandising decisions. Founded in 2015 and headquartered in Cincinnati, it operates as a privately held company offering subscriptions, consulting, and managed media services.