AI / ML Engineer
Lincoln - Nelnet Center, United States
R
USD 95K-130K Senior-level Full Time
Tasks
- Add responsible AI guardrails and validation
- Analyze latency token usage cost and outcome quality
- Build and maintain agent evaluation suites
- Build tools APIs and connectors for agent integrations
- Deploy and maintain scalable AI pipelines
- Design build and deploy LLM agents to solve business problems
- Design data chunking and ranking for retrieval
- Diagnose agent failures
- Document agent architectures and evaluation results
- Implement CI CD for AI workflow automation
- Implement offline and online evaluation metrics
- Implement retrieval augmented generation context strategies
- Instrument agents for observability and monitoring
- Maintain audit trails and access boundaries
- Mentor team members on agent design and evaluation practices
- Monitor and improve deployed agent health
- Tune prompts and tooling
- Use infrastructure as code to provision AI services
Perks/Benefits
- 401k
- Dental insurance
- Employee assistance program
- Employee stock purchase plan
- FSA
- Generous earned time off
- HSA
- Health insurance
- Hybrid work schedule
- Life insurance
- Long-term disability
- Short-term disability
- Student loan repayment
- Tuition reimbursement
- Vision insurance
- Wellness program
Skills/Tech-stack
AWS | AWS Lambda | AWS Step Functions | Agent Orchestration | Amazon Bedrock | Amazon ECS | Amazon OpenSearch | Amazon OpenSearch Service | Amazon S3 | CI/CD | Context engineering | Docker | Infrastructure as Code | Kubernetes | LLM | Language Models | Large Language Models | Machine Learning | OpenSearch Service | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Statistical Analysis | Step Functions | Terraform | Tokenization | Vector Retrieval | “as-code”
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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