Principal AI Engineer – Developer Experience and Agentic Tooling
Tasks
- Build AI powered internal development tools
- Build durable AI workflow infrastructure for long running executions
- Build systems for planning execution validation branching and human in the loop pauses
- Create APIs workflows and interfaces for AI assisted development
- Define patterns abstractions and best practices for safe AI adoption
- Design and ship internal software platforms
- Implement reliability observability and scale for internal AI platforms
- Integrate CI CD deployments approvals security scans and quality gates for software change intelligence
- Partner with engineering platform security and product teams to remove friction from software delivery
Perks/Benefits
Skills/Tech-stack
Agentic Workflows | CI/CD | Control integration | Dependency graphs | Deployment Automation | Docker | Evaluation | Go | GraphQL | Human-in-the-loop | Java | JavaScript | Kubernetes | LLM | Node.js | OpenTelemetry | PostgreSQL | Prompt versioning | Python | REST | Redis | Retrieval-Augmented Generation | Security Scanning | Service Dependency Graphs | Software Observability | Source Control | Source Control Integration | State management | The Loop | Tracing | TypeScript | Workflow Orchestration
Education
N/A
Roles
AI Engineer | Engineer | Principal | Principal AI Engineer | Software Engineer
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