AI Platform Engineer
Tasks
- Build platform layer for safe agent deployment and execution
- Build span level tracing token usage latency and cost monitoring
- Build testing harnesses for non deterministic AI systems
- Create and maintain MCP servers command line tools and prompt libraries
- Develop orchestration tooling for multi agent workflows manage state and route work
- Educate engineering teams on AI best practices
- Embed AI in IDEs code review test generation CI CD pipelines and documentation
- Instrument AI systems for end to end observability in Datadog
- Integrate AI across SDLC
- Operate production AI health safety and cost efficiency
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | Agent Orchestration | Agent systems | CI/CD | Cost monitoring | Datadog | Evaluation Frameworks | Kubernetes | LLM | Latency monitoring | MCP | Machine Learning | Multi-Agent | Multi-agent orchestration | Observability | Prompt engineering | Python | Terraform | Test automation | Token Monitoring | Tracing | TypeScript
Education
N/A
Roles
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