AI Engineer
USA - Missouri - St. Louis - Lackland, United States
USD 401K Senior-level Full Time
Tasks
- Architect AI agents
- Build and deploy AI agents
- Build scalable APIs
- Create technical presentations
- Define SLA SLO SLI metrics
- Define reliability versioning and alerting
- Design prompt and context engineering
- Develop documentation and runbooks
- Develop microservices
- Ensure DevSecOps compliance
- Establish MLOps practices
- Implement LangChain and LangGraph
- Implement RAG solutions
- Integrate foundational models
- Lead agile ceremonies
- Operate AI systems on Google Cloud
- Set up monitoring and observability
- Troubleshoot production issues
Perks/Benefits
- 401k matching
- Health insurance
- Learning platform career tracks
- Organizational growth potential
- Paid time off
Skills/Tech-stack
API Development | Agile | Argo CD | CI/CD | Cloud platform | DevSecOps | Docker | DynamoDB | FinOps | Firestore | GitHub Actions | Google Cloud | Google Cloud Platform | Infrastructure as Code | Java | JavaScript | Jenkins | Kubernetes | LLM Observability | Langchain | Langfuse | Langgraph | MLOps | Microservices | MongoDB | MySQL | NoSQL | PaaS | PostgreSQL | Python | RAG | SLA SLO | SLA/SLO/SLI | SLO/SLI | SQL | SaaS | Terraform | TypeScript | Vertex AI | “as-code”
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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