Note: The job is a remote job and is open to candidates in USA. Southern New Hampshire University is a people-centered university focused on transforming lives through innovative learning. The university is seeking a Senior Python Backend Engineer to build scalable backend, data, and evaluation infrastructure for its agentic AI learning platform, while supporting reliability, personalization, and continuous improvement.
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
- This is a remote position
- 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
Skills
- Employees must reside in, and work from, the United States
- 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
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
- Remote work from any of the approved States
Company Overview