Software Engineer (AI Productivity)
Tasks
- Build internal AI tooling and integrations
- Create playbooks examples onboarding and shared workflows
- Create workflows for cloud agents and agent management
- Define metrics for adoption productivity and satisfaction
- Develop backend services and scripts
- Enable engineering research and operational velocity with AI
- Evaluate build vs buy for AI tooling ecosystem
- Own AI tooling adoption
- Partner on security and data access for AI tools
- Support LLM integrations and agent infrastructure
Perks/Benefits
- N/A
Skills/Tech-stack
Agent automation | Authentication | Authorization | ClickHouse | Cloud platform | Google Cloud | Google Cloud Platform | Kubernetes | LLM | Postgres | Python | REST API | React | TypeScript
Education
N/A
Roles
Regions
Countries
States
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