Senior AI Engineer | US | Remote
Tasks
- Add observability logging and evaluation for AI systems
- Build backend services including APIs and microservices
- Build multi-agent AI systems
- Create MCP servers and developer interfaces
- Define governance for AI workflows with audit trails and access controls
- Deploy serverless and containerized services on Google Cloud
- Design CI CD testing and production reliability for workflows
- Develop AI agent orchestration and automation workflows
- Implement RAG pipelines with retrieval from knowledge bases
- Integrate LLMs with internal and third party data platforms
Perks/Benefits
- Annual leave policy
- Global company culture
- In-person onboarding
- Remote work
- Restricted stock units (RSUs)
Skills/Tech-stack
APIs | Agent systems | Audit trails | BigQuery | CI/CD | ChromaDB | Cloud Functions | Cloud Run | Cloud platform | Cost Management | CrewAI | Function Calling | GCP | Git | Google Cloud | Google Cloud Platform | Human-in-the-loop | JavaScript | LLM | Langchain | Latency management | Logging | MCP | Microservices | Model Context Protocol | Model Evaluation | Monitoring | Multi-Agent | Multi-Agent Systems | N8n | Node.js | Observability | Orchestration | PGVector | PII handling | Pinecone | Prompt engineering | Python | Qdrant | RAG | Retrieval-Augmented Generation | Serverless | Slack | Structured Output | Testing | The Loop | Tool use | Vector Database | Weaviate | Workato
Education
N/A
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