AI Engineer, Open Platform/ 1 week ago
Quick Summary
AI Engineer, Open Platform - LLM & Agentic Systems (UK Remote)
Join Future’s Technology & Engineering department in a collaborative environment focused on delivering scalable, well-engineered solutions. We emphasize best practices through technology guilds, regular hack days, and prioritize personal development.
The Role
This position is within the new "Lab Squad," dedicated to building the Open Platform (internally "Ember"), a scalable, creator-first ecosystem. As the AI Engineer for Open Platform, you will be the primary driver for designing and implementing the Auto-Moderation Service and other AI-driven capabilities necessary to safely scale from dozens to thousands of creators.
Your work will directly automate content processes, ensure brand safety, and improve creator workflows using Large Language Models (LLMs) and automation frameworks. You will report to the Tech Lead and collaborate with Full Stack Developers to embed intelligent agents and automated decision-making directly into the platform's core architecture.
Experience That Will Put You Ahead of the Curve
- Experience Level: Operating at a Mid to Senior level in a relevant technical role (Automation, Software Engineering, AI/ML Engineering).
- Applied AI/ML Expertise: Hands-on experience applying AI/ML concepts, specifically NLP, LLMs, embeddings, and RAG, to solve practical business problems. Must grasp LLMOps and EVALs frameworks for rigorous model selection, quality assurance, and ongoing performance monitoring.
- Agentic Systems Engineering: Expertise in designing autonomous agent architectures, including agent memory, strict safety guardrails, and task performance. Familiarity with frameworks like CrewAI, Google Gen AI/ADK, or LangGraph is important for building reliable, self-directing systems.
- Automation Expertise: Experience designing and implementing process automation solutions using workflow tools (especially Temporal.io, n8n) or custom scripting to stitch AI models into business logic.
- Programming Proficiency: Proficiency in Python (for AI/ML services) and TypeScript/Node.js (for integration). Expertise in other high-level languages (Go, Java, PHP) is valued.
- Software Engineering Practices: Understanding of modern best practices: version control (Git), CI/CD principles, automated testing, and writing clean, maintainable code.
- System Integration: Ability to design AI services that integrate cleanly with modern web architectures (REST/GraphQL APIs, microservices) and existing platforms.
- Personal Automation: Commitment to efficiency demonstrated by identifying opportunities to automate personal workflows and tasks using AI tools (e.g., Cursor, Windsurf, Copilot, and Bolt).
- User Focus & Coaching: A customer-centric mindset, empathy for end-user needs, and a coaching approach with a willingness to share knowledge.
What's in it for you
The expected salary range for this UK Remote role is £60,000-£65,000 (Internal job family level T6).
Great perks include:
- Uncapped leave, based on trust to manage workload and time.
- Profit share bonus when targets are met.
- Referral rewards for successful hires.
- Well-being support with access to our Colleague Assistant Programmes.
- Opportunity to purchase shares in Future via our Share Incentive Plan.
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