Senior Software AI Engineer

Southern New Hampshire University is a team of innovators dedicated to transforming lives through education. They are seeking a Senior Software AI Engineer to design and implement backend systems for their AI learning platform, ensuring data quality and building scalable infrastructure to support their Data Science team.

Responsibilities:

• You will design and implement scalable APIs for agent orchestration and learner interaction
• You will build data pipelines that feed agent evaluation and continuous improvement cycles
• You will create event streaming infrastructure for real-time learner interaction analysis
• You will ensure data quality and accessibility for training and evaluating learning agents
• You will 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

Requirements:

• 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