Developing and maintaining creative, hands-on technical samples that highlight platform capabilities through real-world AI use cases
Building and documenting distributed systems designed for global scale and high-performance inference at the edge
Creating high-quality written and video content, including deep-dive Youtube tutorials and efficient, engaging short-form videos for social platforms
Optimizing and demonstrating LLM inference on GPUs, focusing on performance, latency, and efficiency within the open-source ecosystem
Leading community building efforts by engaging with developers on GitHub, Discord, and at industry events to foster a culture of technical excellence
Contributing to the open-source LLM ecosystem and ensuring our tools integrate seamlessly with popular AI frameworks and libraries
Providing actionable feedback to internal engineering teams baed on hands-on testing and developer community insights
Representing the company through technical storytelling at conferences, workshops, and live-coding sessions
Engage with the developer community in SF and the Bay Area and globally

Requirements

Have 8 years of relevant experience and a Bachelor's degree or its equivalent
Have a strong technical foundation at AI Engineering with significant experience in LLMs and the open-source AI ecosystem
Possess hands-on experience with AI frameworks such as PyTorch, Hugging Face Transformers, vLLM, LangChain or LlamIndex, Crew AI, Pydandic AI, or similar
Be proficient in running and optimizing inference on GPU's and deploying models in edge computing environments
Understand the principles of building and scaling distributed systems for global workloads
Be an expert communicator capable of producing high-production-value video content and clear technical documentation
Be a strategic thinker who can identify emerging AI trends and translate them into practical developer resources
Enjoy mentoring other developers and influencing technical roadmaps across cross-functional organizations
Provide a portfolio when applying that includes: GitHub Samples (Repositories showing practical AI engineering or distributed systems work) Video Content (Links to your technical videos long-form and short-form styles) Written Work (Links to technical blogs, whitepapers, or samples of documentation) Talks and Presentations (Evidence of previous technical speaking engagements or webinars

Benefits

healthcare
401K savings plan
company holidays
vacation (in the form of PTO)
sick time
family friendly benefits including parental leave
employee assistance program including a focus on mental and financial wellness

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI EngineeringLLMsPyTorchHugging Face TransformersvLLMLangChainLlamIndexCrew AIPydandic AIGPU optimization

Soft Skills

expert communicatorstrategic thinkermentoringcommunity buildingtechnical storytellingengagementinfluencingcollaborationfeedback provisioncontent creation

Certifications

Bachelor's degreeequivalent degree