·       Design and build production services in Python, C#, and related service technologies

·       Develop corresponding front-end functionality using Angular

·       Build and integrate features using AWS services such as Bedrock, SageMaker, Lambda, and EKS
·       Integrate LLM-backed capabilities using the Anthropic Claude API, Model Context Protocol, and related platform services
·       Contribute to AI Governance capabilities across explain, observe, and prevent areas, moving between whichever capability the initiative needs at a given stage
·       Own the design of features and components within the assigned area, proposing implementation approach, alternatives, and trade-offs
·       Mentor Engineers, review their code and designs, and help raise overall engineering quality
Participate in effort estimation and challenge estimates, scope, dependencies, or technical direction where warranted

·       Strong, demonstrated engineering experience shipping production software
·       Proficiency in Python, with hands-on experience or working proficiency in C#, and PostgreSQL
·       Full-stack proficiency, including Angular
·       Hands-on experience using an AI coding tool in daily development work, such as Claude Code, AWS Kiro, OpenAI Codex, or a comparable AI-assisted coding tool
·       Working knowledge of AWS services, including Bedrock, SageMaker, Lambda, and EKS
·       Demonstrable exposure to LangChain, LangGraph, or a comparable agentic framework, with evidence of having built with one
·       Comfort designing a solution from a problem statement, not only implementing a fully specified design
·       Baseline AI literacy, including understanding how AI works, where it can go wrong, where it is useful, and how to direct it effectively
·       Ability to evaluate AI-generated outputs before relying on them and use AI-assisted tools responsibly within team standards and review processes

·       Direct experience with the Anthropic Claude API and Model Context Protocol
·       Prior work on systems with explainability, observability, or guardrail requirements
·       Experience designing and delivering LLM-backed products, APIs, or AI-enabled production services
·       Experience guiding engineering trade-offs, reviewing technical         designs, and mentoring engineers in full-stack product delivery