Lead Engineer - AI
Tasks
- Build and optimize LLM powered RAG pipelines
- Design scalable AI driven backend systems
- Develop identity and access control systems
- Implement AI safety guardrails
- Implement embeddings workflows
- Improve reliability performance and observability
- Mentor engineers through code reviews
- Mitigate hallucinations
- Orchestrate multi-agent workflows
- Own distributed systems architecture
Perks/Benefits
- Access to modern AI tooling
- Global collaboration
- High ownership
- Inclusive culture
- Learning opportunities
- Remote-first
Skills/Tech-stack
AI Safety | Agent Orchestration | Alerting | Asynchronous programming | Cloudflare Workers | Embeddings | Event Driven | Event-driven architecture | Go | KV storage | LLM integration | Latency optimization | Logging | Microservices | Model Evaluation | Monitoring | Multi-Agent | Multi-agent orchestration | NestJS | NoSQL | Node.js | Observability | PostgreSQL | RAG | Retrieval-Augmented Generation | Scalability | Serverless computing | Structured outputs | System design | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Lead | Lead Engineer
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