Senior Software & AI Engineer
Southern New Hampshire University
Birmingham, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Birmingham, United States of America
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Software as a Service
Continuous Integration
Data Infrastructure
Relational Databases
Cursor (Graphical User Interface Elements)
Amazon DynamoDB
Github
Python
PostgreSQL
MySQL
Oracle Applications
Data Streaming
GitHub Copilot
Large Language Models
Virtual Agents
Functional Programming
Terraform
Data Pipelines
Job description
- 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
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.
Benefits & conditions
- 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