Python Developer – Agentic AI Infrastructure (AI/LLM Engineer) - Local/Hybrid
USD 135K-200K (estimate) Entry-level Full Time
Tasks
- Apply production readiness monitoring performance and reliability practices
- Build reusable agent frameworks and components
- Deploy services to OpenShift and run production operations
- Design agentic AI workflows and services
- Develop AI enabled applications and supporting APIs
- Develop reference implementations and platform standards for agentic development
- Implement secure data handling access controls and audit friendly patterns
- Implement testing logging metrics error handling and runbooks
- Integrate agents with enterprise data sources via secure APIs and services
- Maintain documentation for architecture and operations
- Translate use cases into technical requirements and deliver measurable outcomes
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | Authentication | Authorization | Azure AI | Azure AI Foundry | CI/CD | Containerization | Debugging | Evaluation | Function Calling | Git | GitHub Copilot | Guardrails | Kubernetes | Least Privilege | Logging | Model Context Protocol | Monitoring | Open WebUI | OpenAI Codex | OpenShift | Prompt engineering | Python | RAG | REST APIs | Rate Limiting | Retrieval-Augmented Generation | Testing | Workflow Orchestration
Education
Roles
AI | AI Engineer | Developer | Engineer | LLM Engineer | Python | Python Developer
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