Full-Stack Agentic AI Lead Developer

Full-Stack Agentic AI Lead Developer (Hybrid with travel) with Product Ownership Responsibilities Full-Stack Agentic AI Lead Developer Position Summary We are looking for a Full-Stack Agentic AI Developer who can build autonomous, goal-driven AI systems and ship them as products that solve real business problems. This is not a traditional developer role. The ideal candidate blends deep technical fluency in agentic frameworks and AI-native development tools with a product owner’s instinct for prioritization, stakeholder management, and outcome-driven delivery.

You will design, build, and orchestrate multi-agent systems that plan, reason, use tools, recover from errors, and collaborate with humans when the stakes are high. Equally important, you will own the product roadmap for the solutions you build—translating business objectives into technical requirements, managing backlogs, and ensuring what ships creates measurable value. Full-Stack Agentic AI Lead Developer What You Will Do Agentic AI Development Design, develop, and deploy autonomous and semi-autonomous AI agent systems that interpret goals, gather context, select tools, and execute end-to-end workflows Build and maintain custom skills, plugins, and tool integrations that extend agent capabilities across enterprise environments Architect multi-agent orchestration patterns including agent-to-agent delegation, parallel task execution, and human-in-the-loop escalation paths Implement agentic memory frameworks, context management strategies, and guardrails that ensure reliable, safe, and auditable agent behavior Develop and refine system prompts, reasoning chains, and evaluation pipelines to continuously improve agent performance Full-Stack Engineering Build robust, scalable web applications and APIs that serve as the interface and backbone for AI-powered solutions Work across front-end and back-end technologies to deliver complete, production-ready systems Design and implement data pipelines, integrations, and infrastructure to support agent operations at scale Write clean, maintainable, well-tested code and conduct thorough code reviews Product Ownership & Business Alignment Own the product vision and roadmap for the AI solutions you build—from discovery through delivery and iteration Translate business objectives and stakeholder needs into prioritized backlogs, user stories, and acceptance criteria Collaborate directly with clients, executives, and cross-functional teams to define scope, manage expectations, and communicate progress Measure and report on product outcomes using business-relevant KPIs, not just technical metrics Make build-vs-buy and technology selection decisions grounded in ROI, time-to-value, and strategic fit Facilitate sprint planning, demos, and retrospectives—functioning as a player-coach who both builds and leads Full-Stack Agentic AI Lead Developer

Required Qualifications Experience & Education 5–10 years of software development experience with progressive responsibility Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience) 2+ years of hands-on experience building AI-powered applications, including agent-based systems Demonstrated experience functioning as a product owner, product manager, or technical lead with direct business-facing accountability Agentic AI & LLM Expertise Proven experience with agentic coding tools and AI-native development environments.

Proficiency in one or more of the following is required:
Claude Code — terminal-native agentic development, sub-agents, skills authoring, MCP server integration OpenAI Codex — autonomous cloud-based coding agents, background task execution, PR workflows Cursor — AI-native IDE, multi-model routing, Composer multi-file editing, background agents Git Hub Copilot — agent mode, code review automation, workspace integration Experience building custom skills, tool definitions, and structured prompt architectures for AI agents Proficiency with LLM orchestration frameworks such as Lang Chain, Lang Graph, CrewAI, Auto Gen, or Semantic Kernel

Experience with agentic memory and context management (e.g.,…