Senior Full Stack Developer, Agentic Engineering

Overview: As a founding Senior Full-Stack Engineer for an agent-first squad, you will own end-to-end development of staff-facing apps, APIs, and data services. You’ll prototype with AI coding agents, shape the squad’s practices, and mentor junior engineers while building a modern pipeline that emphasizes automation, quality, and SOC 2-aligned governance. You’ll balance rapid experimentation with robust design, ensuring secure, accessible software for educators and operations staff. This role blends hands-on coding with strategic influence in a growing team. Compensation / Benefits remote work Responsibilities Agentic engineering and delivery: use AI coding agents to plan, implement, test, and refactor code while owning every line that ships Judging agent output: review and validate AI-generated changes, flag defects, and determine merges requiring human oversight Requirements to architecture: translate lightweight briefs into agent-ready specs, designs, data flows, and acceptance criteria Proof-of-concept development: prototype to validate feasibility and inform decisions Short, experimental cycles: deliver end-to-end skeletons, apply YAGNI, discard non-viable work Full-stack ownership: own features end-to-end across UI, APIs, back-end, data stores, IaC, and deployment pipelines Integrations and data services: build and maintain integrations with identity providers, rostering/SIS, internal APIs, and data platforms Rebuilding legacy capabilities: extract business rules from existing systems and rebuild on the new stack Building the agentic pipeline: maintain agent documentation, standards, and shared libraries Environments and DevOps: manage preview environments, safe test data, and deployment pipelines Quality gates: strengthen automated testing, CI checks, and AI-assisted reviews Verification loops: implement end-to-end tests and headless checks with independent tests for high-risk areas Governance: enforce secrets, data access, student data protections and SOC 2 change-management controls Mentoring: coach early-career engineers and codify best practices and playbooks Cross-functional collaboration: work with product/design, QA, DevOps, and security partners Measuring outcomes: track lead time, rework, defects, and change-failure rate Key requirements Daily, hands-on use of AI coding agents to build production software with measurable impact Proficiency with TypeScript/JavaScript, React, HTML, CSS Experience designing REST APIs and back-end services Relational databases (PostgreSQL) including data modeling and performance tuning Cloud hosting, serverless tech, and infrastructure as code (AWS, Terraform, CDK) Automated testing: unit, integration, and end-to-end CI/CD pipelines and own environments/deployments (GitHub Actions) Version control and PR-based review workflows Cross-browser, cross-platform, cross-device compatibility Accessible design meeting WCAG/ADA requirements Track record of owning features end-to-end and mentoring engineers Clear written communication for specs and designs Comfort with short, experimental cycles and discarding unproven work Mentoring and coaching Strong product sense Collaboration with cross-functional teams Claude Code, Codex, Cursor REST APIs PostgreSQL