Hybrid Fractional AI Engineer

at The Collecting Group

• Job title: Fractional AI Engineer
• Job type: Part Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: AWS, Python
• Location requirements: Hybrid, London, United Kingdom

About the role

• AI Engineer designing and building AI systems to transform operations for The Collecting Group. Architecting high-impact automation in a dynamic environment to create operational efficiency.

Responsibilities

• 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 optimization.
• Create testing frameworks ensuring agent reliability and consistency at scale.

Requirements

• 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.

Benefits

• 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.