AI Platform Engineer
Tasks
- Build platform layer to deploy and run agents
- Build testing harnesses for non deterministic AI systems
- Create and maintain MCP servers and prompt libraries
- Develop orchestration tooling for multi agent workflows
- Educate engineering teams on AI adoption best practices
- Instrument AI systems with end to end observability
- Integrate AI across SDLC tools and workflows
- Own production operational health and safety
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Agent Orchestration | Agent systems | Artificial Intelligence | CI/CD | Confluence | Containers | Cost Optimization | Datadog | Evaluation | GitHub | Jira | Kubernetes | Language Models | Large Language Models | Latency monitoring | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Prompt engineering | Python | Terraform | Testing | Token Usage Monitoring | Token usage | Tool integration | Tracing | TypeScript | Usage monitoring
Education
N/A
Roles
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