Lead AI Engineer, Enterprise AI Operations
Tasks
- Add monitoring and validation layers
- Apply data minimization
- Architect production AI systems
- Build retrieval-augmented generation workflows
- Conduct structured evaluations
- Create evaluation frameworks
- Design memory strategies
- Develop tool use workflows
- Document architectural patterns
- Ensure scalability and performance
- Implement AI guardrails
- Implement agentic workflows
- Implement audit logging
- Implement failure handling
- Implement observability for AI systems
- Iterate based on feedback
- Manage access controls
- Operationalize AI workflows
- Orchestrate multi-agent workflows
- Partner with security and legal
- Select and evaluate AI tools
- Share AI best practices
- Support AI governance
- Support post launch adoption
Perks/Benefits
- 401k match
- Dental insurance
- Equity RSUs
- Flexible vacation
- Health insurance
- Mental health resources
- Paid Holidays
- Paid parental leave
- Paid training
- Remote-first
- Sabbatical program
- Vision insurance
- WIN bonus program
- Wellness stipend
Skills/Tech-stack
APIs | Access Controls | Agent systems | Audit Logging | CI/CD | Cloud Computing | Data minimization | Distributed Systems | Evaluation | Guardrails | Language Models | Large Language Models | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Orchestration | Production reliability | Python | Retrieval-Augmented Generation | Security Access | Security access controls | Testing | Tool-Calling | TypeScript
Education
N/A
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer
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