Full Stack Developer

Overview Evergreen.AI is building enterprise-grade, end-to-end agentic AI solutions and frameworks that transform how organizations operate. As a Full Stack AI Systems Software Development Engineer, you will design and build production-grade applications that operationalize Evergreen.AI systems inside real enterprise workflows. This role focuses on creating the application layer where AI systems are observed, controlled, evaluated, and trusted by enterprise users. Your work determines whether AI systems aßre usable, governable, and scalable-not just functional. Responsibilities Application Architecture for AI Systems: Design and build full stack applications that sit on top of Evergreen.AI agents; develop APIs, services, and UI components that expose AI system behavior, state, and decisions; handle nondeterministic outputs through UX patterns such as review queues, confidence indicators, provenance views, and audit logs; design systems that support human-in-the-loop workflows without slowing delivery velocity. Frontend Engineering for Trust and Control: Build enterprise-grade UIs using modern frameworks (React, Next.js, or equivalent); design interfaces that allow users to inspect, approve, correct, and override AI outputs; implement role-based access control, auditability, and compliance-friendly UX; optimize for clarity, reliability, and debuggability over visual polish. Backend and Integration Engineering: Build backend services in Python or Node that orchestrate agent interactions; integrate with LLM APIs, vector databases, evaluation services, and enterprise systems; implement asynchronous workflows, event-driven processing, and state management; design APIs that remain stable under evolving AI behavior. Observability, Quality, and Feedback Loops: Implement logging, tracing, and monitoring across the full stack; surface evaluation metrics, failure modes, and drift signals in the product UI; enable feedback collection from users to improve system behavior over time; partner with Forward Deployed Engineers to close the loop between usage and improvement. Security and Enterprise Readiness: Implement authentication, authorization, and secure data handling; ensure applications meet enterprise security and compliance requirements; design for multi-tenant and single-tenant deployments where required. Qualifications 5+ years building production-grade full stack applications. Strong experience with modern front-end frameworks (React, Next.js) and component-driven development. Strong backend engineering skills in Python and Node. Experience integrating with APIs, async systems, and event-driven architectures. Exposure to LLM-powered systems, agent frameworks, or AI-driven applications. Ability to design systems under uncertainty and evolving requirements. Strong instincts around maintainability, debuggability, and failure handling. Excellent collaboration and communication skills; ability to work closely with FDEs, platform engineers, and customers. Insight Global