The AI Enablement team at 84.51° is seeking a Lead Software Engineer for its Agentic Foundations team to design, develop, and maintain the agentic backbone of the Kroger enterprise
Requirements
- Professional experience with cloud-based software architecture focused on scalability, performance, and reliability
- Professional experience with end-to-end SDLC leveraging CI/CD and AIOps/MLOps, including experience with agentic SDLC tooling
- Professional experience with large-scale AI/ML systems, including 1+ years with GenAI and deep learning methods
- Professional experience with AI/ML frameworks and tooling (PyTorch, OpenAI SDK, LangChain, autogen)
- Professional experience with AIOps/MLOps tooling and concepts (MLflow, Model Registry, Model Monitoring)
- Professional experience with scaling and deploying AI/ML systems using tooling in Microsoft Azure and Google Cloud, including CI/CD, containerization, orchestration, and API development (in particular FastAPI)
- Professional experience with Kubernetes (AKS) and Helm
Responsibilities
- Lead the design, development, and operation of core agentic platforms, services, and tooling used across the Kroger enterprise
- Own technical outcomes for a more specific product area, such as registries (agent/MCP/scorer/prompt), evaluation frameworks, observability/monitoring, SDKs/APIs/UIs, and low-code/no-code agent platforms
- Provide in-depth technical leadership to scope and implement scalable, secure, and reliable solutions
- Uphold standards for architecture, code quality, testing, and documentation
- Abstract complex capabilities into developer-friendly interfaces (APIs, Python packages, CLIs, and UIs) to reduce friction and accelerate adoption
- Drive operational excellence across platforms, including incident management, on-call support, capacity planning, and cost optimization
- Mentor and guide engineers through code reviews, architecture discussions, and pairing; contribute to team growth, onboarding, and enablement
Other
- 4-6 years relevant experience
- Education: Bachelor's degree or higher in Software Engineering, Computer Science, Machine Learning, or a related field
- Skilled in problem solving, analytic thinking, and creativity
- Skilled in planning, organization, and verbal/written business communication
- Demonstrated excellence as a teammate and leader
