Lead Artificial Intelligence/Machine Learning Engineer
Tasks
- Build AI agent SDK core
- Build first production agent
- Conduct red team exercises
- Create eval gated CI CD pipeline
- Defend AI safety posture
- Define evaluation strategy
- Design knowledge graph and RAG strategy
- Design technical assessments for hiring
- Develop evaluation harness
- Implement observability and tracing
- Implement prompt injection defense
- Lead AI engineering team growth
- Lead agent reference architecture
- Mentor engineers and standardize patterns
- Monitor drift and quality
- Own AI architecture decisions
- Run agent factory operating model
- Set LLM routing and fallback policy
Perks/Benefits
- Financial consultation
- Legal consultation
- Medical insurance
- Mental health support
- Paid certifications
- Remote work option
Skills/Tech-stack
Agent SDK | CI/CD | Claude Agent SDK | Containers | Cost Optimization | Firecracker | GDPR | Golden datasets | Hybrid retrieval | Identity Management | Injection Defense | LLM Gateway | LLM routing | LLM-as-judge | LLMOps | Langchain | Langfuse | Langgraph | Langsmith | Litellm | MLOps | Multi-tenancy | Neo4j | PGVector | Prompt injection | Prompt injection defense | Python | RAG | Red Teaming | Regression testing | SBOM | SOC 2 | Temporal | Token Cost | Token Cost Optimization | Tool Call Authorization | Vector embeddings | WorkOS
Education
N/A
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