AI Operations Engineer

Veracross • Full-time • Remote (Remote from California, United States) • 1h ago

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

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