Full-Stack Agentic AI Developer (Remote plus travel)

Job Description Full-Stack Agentic AI Developer (Remote with travel) 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.What You Will Do Agentic AI DevelopmentDesign, develop, and deploy autonomous and semi-autonomous AI agent systems that interpret goals, gather context, select tools, and execute end-to-end workflowsBuild and maintain custom skills, plugins, and tool integrations that extend agent capabilities across enterprise environmentsArchitect multi-agent orchestration patterns including agent-to-agent delegation, parallel task execution, and human-in-the-loop escalation pathsImplement agentic memory frameworks, context management strategies, and guardrails that ensure reliable, safe, and auditable agent behaviorDevelop and refine system prompts, reasoning chains, and evaluation pipelines to continuously improve agent performanceFull-Stack EngineeringBuild robust, scalable web applications and APIs that serve as the interface and backbone for AI-powered solutionsWork across front‐end and back‐end technologies to deliver complete, production‐ready systemsDesign and implement data pipelines, integrations, and infrastructure to support agent operations at scaleWrite clean, maintainable, well‐tested code and conduct thorough code reviewsProduct Ownership & Business AlignmentOwn the product vision and roadmap for the AI solutions you build—from discovery through delivery and iterationTranslate business objectives and stakeholder needs into prioritized backlogs, user stories, and acceptance criteriaCollaborate directly with clients, executives, and cross‐functional teams to define scope, manage expectations, and communicate progressMeasure and report on product outcomes using business‐relevant KPIs, not just technical metricsMake build‐vs‐buy and technology selection decisions grounded in ROI, time‐to‐value, and strategic fitFacilitate sprint planning, demos, and retrospectives—functioning as a player‐coach who both builds and leadsFull-Stack Agentic AI Developer Required Qualifications Experience & Education5‐10 years of software development experience with progressive responsibilityBachelor'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 systemsDemonstrated experience functioning as a product owner, product manager, or technical lead with direct business‐facing accountabilityAgentic AI & LLM ExpertiseClaude Code – terminal‐native agentic development, sub‐agents, skills authoring, MCP server integrationOpenAI Codex – autonomous cloud‐based coding agents, background task execution, PR workflowsCursor – AI‐native IDE, multi‐model routing, Composer multi‐file editing, background agentsGitHub Copilot – agent mode, code review automation, workspace integrationExperience building custom skills, tool definitions, and structured prompt architectures for AI agentsProficiency with LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic KernelExperience with agentic memory and context management (e.g., Mem0, Letta, custom RAG pipelines)Strong understanding of prompt engineering, chain‐of‐thought reasoning, and evaluation frameworks for agent behaviorProgramming & ArchitectureStrong proficiency in Python and JavaScript/TypeScript; additional languages (C#, Go, Rust) are a plusExperience with front‐end frameworks (React, Next.js, Angular) and back‐end frameworks (FastAPI, Express.js, Flask)Expertise with Git, GitHub workflows, branching strategies, CI/CD pipelines, and infrastructure‐as‐codeExperience building and consuming REST APIs, GraphQL endpoints, and microservices architecturesDatabase expertise spanning relational (PostgreSQL), vector (Pinecone, Zilliz, Chroma), and graph databases (Neo4j)Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and containerization (Docker, Kubernetes)Full-Stack Agentic AI Developer Preferred QualificationsExperience deploying LLM agents in production using serving frameworks such as vLLM, e2B, or DaytonaFamiliarity with Model Context Protocol (MCP) servers and building custom tool integrationsExperience with agent evaluation, red‐teaming, and safety testing methodologiesBackground in AI governance, responsible AI practices, or ISO 42001 / SOC 2 compliance frameworksExperience with AgentOps practices: monitoring, observability, and telemetry for autonomous systemsCertified Scrum Product Owner (CSPO), SAFe Product Owner, or equivalent agile certificationPrior consulting or professional services experience with client‐facing delivery accountabilityMobile application development experienceExperience mentoring junior developers and building team capabilityWhat Sets You Apart The best candidate for this role doesn't just write code—they think in systems, products, and outcomes. You understand that the highest‐value AI work often happens upstream of production: in defining the right problem, designing the right agent architecture, and ensuring the solution actually moves a business metric. You are equally comfortable whiteboarding an agent orchestration pattern with engineers and presenting a product roadmap to a C‐suite audience.You have strong opinions, loosely held, about how autonomous AI systems should be built, tested, and governed. You stay current not because you're told to, but because you're genuinely fascinated by the pace of change in agentic AI—and you bring that energy to your team every day.#J-18808-Ljbffr