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kubernetes mlops llms rag langchain📋 Description
- Define and lead Headspace's AI architecture strategy across products.
- Architect end-to-end AI systems: LLMs, RAG, real-time personalization.
- Collaborate with exec, product, and engineering leaders to align roadmaps.
- Write company-wide AI design principles, guardrails, and specs.
- Drive responsible AI: safety, bias mitigation, governance.
- Evaluate and integrate AI infra providers and vector stores.
🎯 Requirements
- 10+ years software engineering; 4+ years in production AI/ML.
- AI architectures: LLMs, RAG, embeddings, real-time inference.
- Translate business needs into roadmaps; cross-functional influence.
- Responsible AI: safety, bias, explainability, data privacy; HIPAA familiarity.
- Cloud-native infra: AWS/GCP/Azure, Kubernetes, MLOps.
- Evaluate/integrate third-party AI providers and frameworks like LangChain.
🎁 Benefits
- Comprehensive healthcare coverage.
- Equity/stock awards.
- Monthly wellness stipend.
- Retirement match.
- Headspace membership.
- Generous parental leave.
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