7+ years building software, including recent, sustained hands-on coding - this is a technical role firstStrong command of at least one modern language (e.g., Python, C#, TypeScript/JavaScript, Java) and comfort picking up others; able to design, build, debug, and ship production systemsDemonstrated experience with AI-driven software development: daily use of AI coding assistants, building with LLM APIs, prompt/context engineering, or shipping Al-augmented features and workflowsSolid experience with enterprise systems and integration patterns: ERP/CRM platforms, REST/event-driven APIs and middleware, identity and access management, cloud platforms (Azure, AWS, or GCP), and data pipelinesTrack record of leading delivery of enterprise software initiatives while remaining a hands-on contributorExperience leading and growing an engineering team (or acting as tech lead for one - mentoring, technical direction-setting, and building team culture, without stepping away from the codeExcellent communication skills - able to explain technical decisions to executives, negotiate scope with stakeholders, and mentor engineersWorking fluency with modern engineering practices: CI/CD, DevOps, testing, and iterative delivery. Design and implement solutions hands-on: services, integrations, automation, and prototypes - you write production code, not just review itOwn technical decisions on your initiatives: architecture, build-vs-buy, tooling, and integration approachSet the technical bar through code reviews, pairing, and example - engineers should learn from working alongside youLead AI-driven development in practice: build with AI coding assistants and agentic workflows (e.g., Claude Code, GitHub Copilot), integrate LLM APIs into products and internal tools, and show the team how to get real leverage from these tools safelyEnsure solutions integrate cleanly with enterprise systems - ERP/CRM, identity, data platforms, cloud infrastructure - and hold up on security, scalability, and maintainability.