Senior/Lead Python AI Engineer

We are seeking a Senior/Lead Python AI Engineer to build a new planning application — the planning surface sitting on top of our existing agentic forecasting engine. In this full-stack role, you will design a high-density, Excel-like planning experience for enterprise users, integrate it with our forecasting engine and LLM tooling, and collaborate directly with planners across multiple markets to shape a product that reflects real-world planning workflows. Responsibilities Build a high-density, editable grid UI using AG Grid (Enterprise) or equivalent, with virtualization, inline editing, Excel-style copy/paste, and undo functionality Implement hierarchy and aggregation logic across product × market × time, including aggregation, disaggregation, and scenario versioning Design and maintain full override lineage — tracking who changed what, when, and why Develop backend services in Python with FastAPI to share a common language with the forecasting engine Architect and operate a transactional override store alongside a read-heavy analytical data layer Integrate LLM application capabilities, including streaming responses, tool/function calling, and session state management Deliver enterprise-grade deployments on AWS using ECS/EKS, RDS, and S3 Implement Okta OIDC integration with group claims driving row-level authorization Manage infrastructure as code with Terraform, along with CI/CD pipelines and observability tooling Engage directly with planners across multiple markets to surface requirements that are currently undocumented Translate stakeholder conversations into product decisions rather than working solely from a written backlog Requirements 5+ years of experience as a full-stack or backend engineer building enterprise data applications Proven expertise in Grid UI (Excel-like) applications Proficiency in Python, with hands-on background in FastAPI for backend service development Strong SQL skills, including experience running transactional stores alongside analytical layers Competency in Gen AI application development, including LLM integration patterns such as streaming, tool calling, and session state Expertise in AWS services, including ECS/EKS, RDS, and S3, with Okta OIDC federated identity Skills in infrastructure as code using Terraform, CI/CD, and observability Familiarity with Grid Style Sheets and modern grid virtualization techniques Capability to engage directly with business stakeholders and translate ambiguous needs into shipped features English proficiency at an Upper-Intermediate level (B2) or higher Nice to have Understanding of Large Language Models (LLMs) and their application in enterprise planning or forecasting contexts Background in agentic AI systems or forecasting engines Familiarity with planning platforms such as Anaplan or similar enterprise planning tools