AI Engineer
USA - Missouri - St. Louis - Lackland, United States
USD 142K-200K (estimate) Senior-level Full Time
Tasks
- Apply DevSecOps and FinOps best practices
- Build and operate AI systems on Google Cloud
- Collaborate with product leaders to deliver AI solutions
- Create prompts and context frameworks
- Define AI engineering metrics SLA SLO SLI
- Design, build, and deploy AI Agents
- Implement MLOps for agent reliability monitoring and observability
- Lead troubleshooting for production issues
- Maintain technical documentation and runbooks
- Plan and run agile sprint activities
- Present technical information to stakeholders
- Prototype and integrate foundational models
Perks/Benefits
Skills/Tech-stack
Angular | Argo CD | CI/CD | ChatGPT | Claude | Cloud platform | CloudFormation | DevSecOps | Docker | FinOps | Firestore | Gemini | GitHub Actions | Google Cloud | Google Cloud Platform | Java | JavaScript | Jenkins | Kubernetes | Langchain | Langfuse | Langgraph | Llama | MLOps | Microservices | MongoDB | Monitoring | MySQL | Observability | PaaS | PostgreSQL | Prompt engineering | Python | RAG | React | SLA | SLI | SLO | SQL | SaaS | Terraform | TypeScript | Vertex AI | Vue
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science
Roles
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