Fast Facts

Veracross is seeking an AI Operations Engineer to join a new AI & Data Operations team, focusing on developing and implementing safe and effective AI solutions for K-12 school management.

Responsibilities: Key responsibilities include building AI-powered product features, optimizing and scaling AI systems, ensuring safety and compliance, and conducting research and enablement activities in AI operations.

Skills: Candidates should have over 5 years of software engineering experience, hands-on experience with LLMs, solid prompt engineering skills, and familiarity with APIs.

Qualifications: Strongly preferred qualifications include Ruby on Rails experience or similar frameworks, applied AI skills, and experience in regulated domains.

Location: Remote work from home, with no travel required.

Compensation: Not provided by employer. Typical compensation ranges for this position are between $110,000 - $160,000.

Company Description

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 350 plus employees in the US, UK and Australia who share a vision to unify school communities, improve the quality of education, and enhance learning. And we’re succeeding!

Veracross is five product brands in one global tech company

• Veracross SIS is a one-person, one-record school management platform
• Magnus Health provides cloud-based Student Health Record (SHR) solutions
• Digistorm connects with their communities through Digistorm Websites, Digistorm Funnel, and Digistorm Apps.
• Epraise incentivizes student well-being and connects teachers, students, and families.
• Firefly provides an online learning space for students and teachers

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 
• 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.) 

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 
• 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. 

• 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