Senior Software AI Engineer

Job not on LinkedIn

🕒 May 15

🏈 Alabama, Arizona, +30 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🥔 Idaho – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🌾 Nebraska – Remote 🗻 New Hampshire – Remote 🌶️ New Mexico – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

💵 $113.9k - $182.3k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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SNHU Careers

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1932

📚 Education

🤝 Non-profit

🎯 Recruiter

Education • Non-profit • Recruitment

SNHU Careers is the careers and hiring portal for Southern New Hampshire University, a nonprofit institution focused on transforming learners’ lives. The site promotes the university’s mission-driven culture, inclusive values, employee benefits (including remote work options and paid time off), and a wide range of job categories from academics and teaching to business operations, student support, marketing, and campus roles. It encourages talent community sign-ups and highlights professional development, diversity and equity initiatives, and flexible work arrangements.

📋 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

• 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