AI/ML Infrastructure Software Development Engineer
USA, DC, Washington (1301 K St), United States
USD 86K-198K Senior-level Full Time
Tasks
- Build and maintain CI/CD deployment automation
- Build and operate RAG and knowledge pipelines
- Design LLM orchestration and multi model routing
- Drive secure compliant system design through reviews mentoring and documentation
- Implement agentic and protocol infrastructure and tool calling
- Manage LLM cost token economics and optimizations
- Manage secrets monitoring logging tracing and incident response
- Own backend infrastructure components for AI models on Azure
Perks/Benefits
Skills/Tech-stack
API Management | Alerting | Async Programming | Audit Logging | Authentication | Azure | Azure Entra | Azure Entra ID | Azure Functions | Azure OpenAI | Azure OpenAI Service | CI/CD | Container Apps | Cost Optimization | Data Pipelines | Distributed Systems | Docker | Embeddings | Entra ID | Fallback strategies | Identity Management | Incident Response | Infrastructure as Code | Input validation | Kubernetes | LLM orchestration | Logging | Model routing | Monitoring | Multi-model | Multi-model routing | OAuth2 | OpenAI Service | OpenID Connect | Output Sanitization | Python | RAG | REST APIs | SLOs | Secrets management | Security | Semantic Search | Token Economics | Tracing | Vector Search | “as-code”
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
Regions
Countries
States
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