AI Engineer, Open Platform
Role details
Job location
Tech stack
Job description
The Technology & Engineering department at Future offers a collaborative, collegiate environment focused on delivering, well-engineered, and scalable solutions. We host regular hack days, emphasise best practices through technology-oriented guilds, and prioritise personal development with resources for learning.
What you'll be doing
This is a role within the new "Lab Squad" dedicated to building Open Platform (internally "Ember"), a scalable, creator-first ecosystem.
As the AI Engineer, Open Platform, you will be the primary driver for designing and implementing the Auto-Moderation Service and other AI-driven capabilities that enable us to scale from dozens to thousands of creators safely. Your work will directly automate content ensure brand safety, and improve creator workflows using LLMs and automation frameworks.
You will report into the Tech Lead and working with Full Stack Developers to embed intelligent agents and automated decision-making directly into the platform's core architecture.
Requirements
- Experience Level: Experience 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. You have a grasp of 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). While we prioritise these languages, we value expertise in other high-level languages (Go, Java, PHP)
- 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: Identify opportunities to automate personal workflows and tasks, showcasing a commitment to efficiency through the use of 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.
Benefits & conditions
The expected range for this role is £60,000-£65,000
This is a UK, Remote-based role
… Plus more great perks, which include;
- Uncapped leave, because we trust you to manage your workload and time
- When we hit our targets, enjoy a share of our profits with a bonus
- Refer a friend and get rewarded when they join Future
- Well-being support with access to our Colleague Assistant Programmes
- Opportunity to purchase shares in Future, with our Share Incentive Plan
Internal job family level T6