Context Engineering: design, test, optimize prompts/tools/memory to shape responses.
Model Releases: assist with experiments and releasing new models.
Research & Analysis: identify inconsistencies and failure modes in outputs.
Knowledge Sharing: help engineers with prompt design best practices.
Staying Current: track prompting/alignment techniques and bring ideas back.

🎯 Requirements

2 to 10+ years of software engineering or research.
Strong fundamentals and understanding of LLM-driven/agentic systems.
Experience shaping LLM behavior via prompts, tools, skills, or memory.
Strong written and verbal communication skills.
Nice to have: recent experience on modern LLM-driven products.
Nice to have: experience cross-team or with external partners.

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