Job Details

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 engineer the backend systems that power our agentic AI learning platform, empowering human-centered learning for theage of AI.

Remote Work

Remote employees will work from approved states: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Nebraska, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin, and Wyoming. Remote employees must have reliable internet and a dedicated workspace.

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.

What we're looking for

• 5+ years production Python experience at scale.
• AWS expertise (Lambda, DynamoDB, S3, Glue, 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 with GitHub Actions or similar CI/CD platforms.
• Experience communicating updates and resolutions to customers and other partners.

AI-Augmented Development

• Active user of AI development tools (GitHub Copilot, Cursor, Claude Code, Codex) with personal projects 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 paid time off (plus almost a dozen paid holidays).
• Employer-funded retirement.
• Free tuition program.
• Parental leave.
• Mental health and wellbeing resources.