AI Platform Engineer, Backend (Agentic Engineering)
Tasks
- Automate CI and code refactoring
- Build agentic workflow platform
- Build coding agent development workflows
- Build orchestration isolation resource models
- Create fairness and quota enforcement
- Design sandboxing orchestration audit guardrails
- Develop prompt injection defenses
- Enable secure agent execution against existing tools
- Ensure multi-tenant isolation
- Implement data privacy identity access
- Implement token and credential lifecycle
- Manage scoped credentials and kill switches
- Own LLM cost controls and routing
- Own architecture implementation rollout observability on call
- Partner with security infrastructure and product
- Provide observability and debugging
- Run background worker execution
Perks/Benefits
Skills/Tech-stack
APIs | Access Management | Audit Logging | CI/CD | Credential lifecycle | Distributed Systems | Go | Identity and Access Management | Identity and access | Incident Response | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Multi-tenancy | OAuth | Observability | OpenID Connect | Orchestration | Prompt injection | Python | Rust | Sandboxing | Secrets management | Service Level | Service-Level Objectives | Token lifecycle | TypeScript | “as-code”
Education
N/A
Roles
AI | AI Platform Engineer | Backend | Backend Engineer | Engineer | Platform Engineer
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