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- Tasks: Build and optimise AI-powered features for school operations using cutting-edge technology.
- Company: Join Veracross, a values-led EdTech company transforming K-12 education worldwide.
- Benefits: Enjoy remote work, 25 days holiday, private medical, and a matched pension scheme.
- Why this job: Shape the future of AI in education and make a real impact on school communities.
- Qualifications: 5+ years in software engineering with hands-on LLM experience; strong prompt engineering skills.
- Other info: Be part of a small team with big influence and modern AI solutions.
The predicted salary is between 36000 - 60000 £ per year.
Veracross provides SaaS-based School Information Systems (SIS) designed to meet the specific needs of independent K-12 schools worldwide. Our one-record solution combines the power of a fully integrated single-record database, personalized communication tools, and an elegant architecture that is unique in our industry.
We are a growing, values-led community of over 350 employees in the US, UK, and Australia who share a vision to unify school communities, improve the quality of education, and enhance learning.
About the Role
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
- 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 Agent Core, Cloudflare Agents, etc.)
What You’ll Build (First 12 Months)
- AI-powered features with measurable impact on school operations
- Core AI operations infrastructure: evaluation, monitoring, and guardrails
- Scalable best practices for responsible AI across our products
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
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
Why This Role Is Unique
- One of the first roles shaping AI solutions across our entire product portfolio
- Direct impact on the quality of life of our users
- Modern AI solving real problems—not research for research’s sake
- Work on a roadmap with strong executive support on a small team with big influence
Our Tech Environment
- Ruby on Rails applications • SQL Server, Postgres & MySQL • AWS cloud infrastructure
You’ll have meaningful input into tool selection, workflows, and long-term AI strategy.
Benefits
- Our team is fully remote - everyone works from home
- 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
AI Operations Engineer in London employer: Veracross
Contact Detail:
Veracross Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Operations Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the EdTech and AI space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your AI projects. This gives potential employers a taste of what you can do, especially for a hands-on role like the AI Operations Engineer.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and software engineering questions. Practice explaining your thought process clearly; it’s all about showing how you think, not just what you know.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our mission.
We think you need these skills to ace AI Operations Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Operations Engineer role. Highlight your experience with AI applications and any relevant projects you've worked on. We want to see how your skills align with our mission to improve school operations!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in education and how you can contribute to our team. Keep it engaging and personal, so we get a sense of who you are beyond your qualifications.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially in LLM work and prompt engineering. We’re looking for someone who can hit the ground running, so make sure we know what tools and technologies you’re comfortable with!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us. Plus, it’s super easy!
How to prepare for a job interview at Veracross
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI operations and LLM systems. Be ready to discuss your hands-on experience with AI applications and how you've optimised them in the past. This role is all about practical AI, so show them you know your stuff!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous roles, especially in regulated or safety-sensitive environments. Veracross is looking for someone pragmatic and production-minded, so highlight your ability to design guardrails and ensure safety in AI outputs.
✨Familiarise Yourself with Their Tech Stack
Get to know the technologies mentioned in the job description, like Ruby on Rails, AWS, and SQL databases. If you're not already familiar with some of these, take a bit of time to learn the basics. Being able to speak their language will definitely impress the interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about Veracross's AI strategy and how they envision the future of their products. This shows your genuine interest in the role and helps you understand if it's the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.