Fractional AI Agentic Engineer

The Mission:

You’ll architect and build AI agent systems that transform how TCG operates, focusing on high-impact automation that delivers measurable business value. This isn’t theoretical AI work; you’ll ship production systems that handle real workflows, from intelligent project management coordination to automated customer support triaging. You’ll work directly with the leadership team to identify bottlenecks where AI agents can create operating leverage, then rapidly prototype, validate, and deploy solutions.

Success means turning coordination-heavy processes into self-running systems.

• Design and build autonomous AI agent systems leveraging tools like AWS Step Functions, N8N, and Google Vertex
• Develop multi-agent workflows that coordinate across departments (e.g., project management, sales operations, customer support, etc.)
• Integrate AI agents with existing systems (Google Workspace, Slack, Jira, Salesforce, custom platforms)
• Build robust error handling, monitoring, and feedback loops for production AI systems
• Create interfaces that allow non-technical teams to interact with and configure agent behaviours

• Conduct rapid discovery sessions with department heads to map high-value automation opportunities
• Build MVPs and proof-of-concepts to validate business value before full implementation
• Establish evaluation frameworks measuring agent performance against business KPIs
• Document agent architectures, prompt strategies, and system dependencies for knowledge transfer
• Advise on build-vs-buy decisions for AI capabilities and vendor evaluation

• Select and implement appropriate tech stack (LLM providers, vector databases, orchestration platforms)
• By working with Data Engineering, design and deploy data pipelines feeding relevant context to agents while maintaining security and privacy
• Build observability into agent systems for debugging, cost tracking, and performance optimisation
• Create testing frameworks ensuring agent reliability and consistency at scale

• 5+ years software engineering experience with demonstrated AI/ML project delivery
• Deep hands‑on experience building with LLM APIs (OpenAI, Anthropic, Google) and agent frameworks
• Strong Python skills; comfortable with async programming, API integrations, and data processing
• Track record shipping production AI systems that solved real business problems (not just prototypes)
• Understanding of prompt engineering, retrieval‑augmented generation (RAG), and agent design patterns
• Ability to work autonomously, make pragmatic technical decisions, and communicate trade‑offs clearly
• Commercial mindset - focused on ROI and business impact rather than technical elegance for its own sake

• Experience with Google Cloud Platform (Vertex AI, Firebase, Cloud Functions)
• Background in workflow automation platforms (N8N, , Zapier)
• Familiarity with vector databases and embeddings
• Previous fractional/consulting experience managing multiple stakeholders

This role will be based at our Head Office in Parsons Green, London

• 25 days holiday (plus an additional day each year after 2 years tenure).
• Private medical insurance for you and your family
• Company pension contribution.
• The opportunity to attend amazing automotive and watch events.

If you’re passionate about the limitless potential of AI, and you have the ambition to architect and deploy tools that redefine how we work then we want you in the driver’s seat. Buckle up and join us on this exhilarating ride.