Senior Software AI Engineer

Role Description

Southern New Hampshire University (SNHU) is looking for an experienced Senior Python Backend Engineer. You will report directly to the Vice President of AI Engineering and you will engineer the backend systems that power our agentic AI learning platform, empowering human-centered learning for the age of AI.

As a backend and platform engineer with data engineering skills, you'll build the infrastructure that powers our AI learning platform. You'll also ensure our Data Science team has the systems they need to measure the effectiveness and guide personalization.

You will work remotely from any of our approved States.

What you'll do:

• Design and implement scalable APIs for agent orchestration and learner interaction
• Build data pipelines that feed agent evaluation and continuous improvement cycles
• Create event streaming infrastructure for real-time learner interaction analysis
• Ensure data quality and accessibility for training and evaluating learning agents
• Improve data infrastructure for cost and performance in close coordination with Data and ML teams
• Design and implement rigorous evaluation frameworks to measure agent performance and improve cycles
• Develop LLM evaluation processes and perform error analysis to identify systemic improvements for agentic learning systems
• Support instrumentation that makes evaluation relevant (metrics, traces/logs, and analysis workflows)
• Participate in on-call rotation and incident response for learning platform reliability
• Contribute to runbooks, postmortems, and reliability improvements as we evolve our operating model

Qualifications

• 5+ years production Python experience at scale
• AWS expertise (Lambda, DynamoDB, S3, Glue, and Athena)
• Experience with a relational database such as MySQL, PostgreSQL, or Oracle
• Experience with agentic AI architectures and evaluation frameworks
• Data pipeline development (streaming and batch)
• Infrastructure as Code experience (CDK, Terraform)
• Production SaaS experience, including participation in on-call / incident response
• Experience in GitHub Actions or similar CI/CD platforms
• Experience communicating updates and resolutions to customers and other partners
• Active user of AI development tools (GitHub Copilot, Cursor, Claude Code, Codex) with personal projects and evolution over the past 12 months
• Demonstrated examples of AI-augmented productivity gains
• Enthusiasm for pushing boundaries of AI-assisted engineering

Compensation

The annual pay range for this position is $113,908.00 - $182,287.00. Actual offer will be based on skills, qualifications, experience and internal equity, in addition to relevant business considerations. We expect this position to be hired in the following target hiring range $125,868.00 - $170,293.00.

Benefits

• High-quality, low-deductible medical insurance
• Low to no-cost dental and vision plans
• 5 weeks of paid time off (plus almost a dozen paid holidays)
• Employer-funded retirement
• Free tuition program
• Parental leave
• Mental health and wellbeing resources