Resolution is seeking a Full-Stack Agentic AI Lead Developer who will design and build autonomous AI systems that address real business challenges. The role involves product ownership responsibilities, where the candidate will manage the product roadmap, collaborate with stakeholders, and ensure successful delivery of AI-powered solutions.
Responsibilities:
- 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
- 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
- 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