AI Engineer - Outside IR35 - Remote OverviewWe’re looking for an experienced AI Engineer to design, build, and scale production-grade agentic systems. This role focuses on developing intelligent, tool-using agents that operate reliably in real-world environments-not just prototypes.
You’ll work at the intersection of LLMs, orchestration frameworks, and modern backend systems to deliver robust AI-powered applications.
Key Responsibilities*Design and build AI-powered applications using agentic workflows
*Develop and orchestrate multi-agent systems with clear communication and task delegation patterns
*Implement structured output handling and tool-use integrations
*Build and maintain scalable backend services using Node.js and REST APIs
*Ship production-ready agents with reliability, monitoring, and performance in mind
*Integrate agents with external tools, APIs, and MCP servers
*Establish observability for AI systems, including tracing, cost monitoring, and failure detection
*Develop evaluation and testing frameworks for agent performance and reliability
*Collaborate with product and engineering teams to deliver impactful AI-driven features
Required Experience*3+ years building AI-powered applications or agentic systems
*Hands-on experience with agentic coding tools (e.g., Claude Code or equivalent) as a primary workflow
*Strong experience with multi-agent orchestration and tool integration
*Proficiency in JavaScript / TypeScript and Node.js
*Experience designing and consuming REST APIs
*Proven track record of shipping AI agents to production environments
Preferred Qualifications*Experience with MCP server development or agent-to-tool integration frameworks
*Familiarity with observability tools for AI workloads (e.g., tracing, cost tracking, failure analysis)
*Exposure to e-commerce or direct-to-consumer (DTC) product environments
*Experience building agent evaluation, testing, and benchmarking systems
To apply for this role please submit your CV or contact Dillon Blackburn on or at .
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