AI Engineer
USA-TX-Austin-12515ResearchBldg7, United States
USD 100K-120K Senior-level Full Time
Tasks
- Build MCP servers and gateways
- Build RAG pipelines
- Build agentic workflows
- Build and operate enterprise AI integrations
- Build and operate production AI services
- Build evaluation harnesses and rubric based LLM tests
- Build multi-agent systems
- Containerize services with Docker
- Deploy and operate AI workloads on AWS Bedrock
- Deploy and operate AI workloads on Azure AI Foundry
- Deploy using CI/CD pipelines
- Develop backend services and APIs
- Implement guardrails and permissions
- Implement infrastructure-as-code
- Implement secrets management and encryption
- Implement secure API design and audit logging
- Integrate AI tool calling with enterprise systems
- Integrate authentication authorization logging monitoring
- Mitigate LLM specific threats
- Run technical evaluations and proofs of concept
Perks/Benefits
Skills/Tech-stack
AI Foundry | API | API Design | AWS Bedrock | Agent systems | Agentic Workflows | Audit Logging | Authentication | Authorization | Azure AI | Azure AI Foundry | CI/CD | CloudFormation | Docker | Embeddings | Encryption | Function Calling | GenAI | Infrastructure as Code | Java | Kubernetes | LLM | Logging | MCP | Monitoring | Multi-Agent | Multi-Agent Systems | Node.js | OAuth | Observability | Prompt engineering | Python | RAG | Rate Limiting | SSO | Secrets management | Secure API | Secure API Design | Secure Development | Terraform | Testing | Throttling | Tool-Calling | TypeScript | Vector Search | “as-code”
Education
N/A
Roles
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