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planning model optimization rlhf memory management tool use📋 Description
- Ship and own end-to-end delivery of autonomous agents and agentic workflows.
- Design agent orchestration systems: planning, tool use, memory, evaluation, coordination.
- Integrate and optimize frontier LLMs into agent architectures, including prompts.
- Drive model optimization work (fine-tuning, distillation, RLHF) for efficiency.
- Lead technical planning with sequenced tasks and clear ownership.
- Provide mentorship across experience levels and promote knowledge sharing.
🎯 Requirements
- 15+ years in software engineering or ML with production autonomous agents.
- Deep experience building autonomous agents or agentic workflows in production.
- Fluency in context management, planning, tool use, memory management, evaluation.
- Experience bringing frontier LLM capabilities into production (prompt engineering, retrieval-augmented generation, model optimization).
- Track record taking AI-powered products from zero to scale in fast-paced environments.
- Strong software engineering fundamentals and production-quality code.
🎁 Benefits
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning
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