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asobbi

Developer Relations

asobbi, San Francisco, California, United States, 94199

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2 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Direct message the job poster from asobbi Building World Class Teams - MLOps | LLM Inference | HPC | AI - US, APAC and Europe

Developer Relations Our company is building the open-core platform for debugging and optimizing LLM applications. We empower AI teams with production-grade tracing, analytics, and evaluation—so they can ship reliable RAG pipelines, agents, and fine-tuned models with confidence. As the first DevRel hire, you’ll be the public face of our platform in the LLM/LLMOps community, connecting developers to the tools they need to tame generative AI complexity. From live-demoing trace visualizations at hackathons to writing guides on latency/toxicity monitoring, you’ll turn cutting-edge observability concepts into actionable insights. What You’ll Do Engage where developers learn : Provide expert commentary on LLMOps pain points (e.g., hallucination tracking, cost leaks) in

r/MachineLearning, Discord, and Hacker News —with authentic, platform-agnostic advice. Create definitive content : Publish tutorials (e.g., "Evaluating RAG Pipelines with Traces"), benchmark reports, and case studies that showcase observability best practices. Grow the community : Moderate our

Discord/Slack , host AMAs with engineers, and onboard OSS contributors. Speak and evangelize : Represent us at

LLM Summit, ScaleML, and meetups ; demo our platform in talks/workshops. Shape the product : Channel developer feedback (e.g., span-level filtering needs) to prioritize features. Build partnerships : Collaborate with

LLM framework teams

(e.g., LangChain, LlamaIndex) on integrations. Who You Are 3+ years in

DevRel, ML engineering, or OSS advocacy , with hands-on experience in

LLMOps, generative AI, or observability . Deep familiarity with

LLM stacks

(e.g., LangChain, OpenAI, vector DBs) and pain points (e.g., traceability, eval). Active in AI communities : You’ve written technical threads, contributed to OSS, or moderated ML forums. A storyteller who can explain

trace sampling tradeoffs

to engineers and

ROI of observability

to execs. Entrepreneurial and data-driven—you’ll define our DevRel metrics (e.g., community growth, content reach). Apply to champion the future of LLM observability! Seniority level

Seniority level Not Applicable Employment type

Employment type Full-time Job function

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