AI Engineer Sr
Tasks
- Build observability and diagnostics for AI systems
- Build reusable AI platform components services and libraries
- Build scalable tool integrations and model interaction workflows
- Create evaluation testing and monitoring for AI reliability and observability
- Design develop and deploy production grade AI applications
- Develop orchestration frameworks for AI agents and workflows
- Implement AI security privacy governance and responsible AI guardrails
- Implement retrieval-augmented generation pipelines
- Leverage AI to improve software development lifecycle productivity
- Propose architecture decisions and engineering standards for AI development
Perks/Benefits
Skills/Tech-stack
AI Agents | AI Observability | AI orchestration | APIs | AWS | Agent systems | Anthropic SDK | Arize Phoenix | Azure | CI/CD | Cloud Native | Cloud-native development | Docker | Generative AI | Google Cloud | Guardrails | Kubernetes | LLM monitoring | Langchain | Langfuse | Langgraph | Langsmith | Language Models | Large Language Models | Microservices | Model Context Protocol | Model Evaluation | Multi-Agent | Multi-Agent Systems | Native Development | OpenAI SDK | OpenTelemetry | Prompt injection | Prompt injection mitigation | Python | RAG | Responsible AI | Retrieval-Augmented Generation | Semantic Kernel | Tool integration
Education
Roles
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