Senior Software AI Engineer

SNHU Careers

Senior Python Backend Engineer at SNHU building backend systems for an AI learning platform. Focused on data pipelines and scalable APIs for effective learner interaction and evaluation.

Posted 5/15/2026full-timeRemote • Alabama, Arizona, Florida, Hawaii, Idaho, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Mississippi, Missouri, Montana, New Hampshire, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin, Wyoming • 🇺🇸 United StatesSenior💰 $113,908 - $182,287 per yearWebsite

Tech Stack

Tools & technologies

AWSDynamoDBMySQLOraclePostgresPythonTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythondata pipeline developmentagentic AI architecturesevaluation frameworksinfrastructure as CodeAWSMySQLPostgreSQLGitHub ActionsAI development tools

Soft Skills

communicationincident responsecollaborationproblem-solvinganalytical thinking