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observability llms rag orchestration agentic📋 Description
- Architect Agentic Systems: design multi-agent architectures for autonomous execution.
- Solve hard AI problems: evaluation, grounding, and observability of LLM reasoning.
- Build the Core AI Platform: primitives and orchestration tools for enterprise AI.
- Lead the AI-first transition: identify high-impact automation opportunities.
- Bridge Engineering and AI: apply backend engineering to Generative AI.
- Mentor and Elevate: mentor senior ICs and raise AI literacy.
🎯 Requirements
- Deep AI/LLM Expertise: LLMs, RAG, and agentic frameworks.
- Backend Engineering Mastery: scalable, reliable AI systems.
- Proven Strategic Leadership: drive technical strategy across domains.
- Visionary Mindset: ahead of the industry curve.
- Focus on Reliability: evaluation, grounding, deterministic outcomes.
- Open Source Contributions: AI/ML community involvement.
🎁 Benefits
- Medical, dental, vision, and 401(k) benefits.
- Remote-first culture with occasional in-person offsites.
- Professional development and learning opportunities.
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