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Role Description

We’re forming a new AI & Data Operations team and hiring our first AI Platform Engineer to bring safe, practical AI operations into our EdTech products. You’ll work end‑to‑end across the AI stack – from infrastructure to shipping features. This is a hands‑on role. You’ll partner closely with engineering leadership and product teams to ship AI features that help schools, while ensuring reliability, safety, and cost control.

What You’ll Do

• Build AI‑Powered Product Features
  • Design and ship agentic AI products to optimize and automate school operations
  • Build systems using school‑specific data and institutional knowledge; develop prompt strategies and reusable libraries
  • Integrate AI capabilities into existing Ruby on Rails applications via APIs and SDKs
• Operate, Optimize & Scale LLM Systems
  • Curate and maintain our AWS AI infrastructure (Bedrock, GuardRails, etc.)
  • Evaluate and select models, benchmark quality, latency, and cost on school operations tasks
  • Optimize prompts, caching, batching, and workflows to improve performance and reduce spend
  • Monitor token usage and implement budgeting and cost controls; run A/B tests across approaches
• Safety, Guardrails & Compliance
  • Design guardrails to prevent hallucinations, bias, and inappropriate outputs
  • Detect and redact PII in AI inputs/outputs; establish safety protocols for K–12
  • Build feedback loops for human review and continuous improvement
• Observability & Evaluation
  • Instrument AI systems with logging, metrics, and tracing; build dashboards for quality, latency, cost, and safety
  • Create evaluation datasets and automated testing pipelines, incorporate user feedback into ongoing improvements
• Research & Enablement
  • Stay current with the AI/ML ecosystem; prototype new models, techniques, and tools
  • Evaluate and select AI hosting solutions (AWS AgentCore, Cloudflare Agents, etc.)

Qualifications

• 5+ years of software engineering experience, including hands‑on LLM work
• Experience building and operating production AI applications
• Strong understanding of prompt engineering LLM best practices
• Comfortable working with APIs in a polyglot environment

Requirements

• Strongly Preferred
  • Applied AI skills
  • Ruby on Rails experience (or willingness to learn quickly) or similar frameworks
  • Experience in regulated or safety‑sensitive domains
• Personal Qualities
  • Pragmatic, production‑minded, and security focused
  • Curious and fast‑learning; clear communicator with technical and non‑technical audiences
  • Mission‑driven about improving school operations

Benefits

• 25 days holiday, plus public holidays
• 4% matched pension contributions
• Payroll Giving
• Private medical
• Discounted Gym Membership
• Cycle Scheme
• Enhanced Sick pay
• Enhanced Maternity, Paternity, Adoption and shared Paternity Leave pay
• Employee Assistance Program