Senior Software AI Engineer
New
S
Southern New Hampshire UniversityEducation Technology
Employees must reside in, and work from, one of the above 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.Full-TimeSenior
Salary113,908 - 182,287 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPostgreSQLPythonDynamoDBData engineeringCI/CDSaaSLLM
Requirements
- 5+ years of 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.
- Active user of AI development tools (GitHub Copilot, Cursor, Claude Code, Codex).
- Demonstrated examples of AI-augmented productivity gains.
Responsibilities
- 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.
- Develop LLM evaluation processes and perform error analysis.
- Participate in on-call rotation and incident response for learning platform reliability.
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