Senior Developer Advocate

Akamai•Cambridge, MA

About The Position

Are you a passionate about AI engineering and building hands-on solutions that push the limits of LLMs, GPU's and distributed systems? Do you enjoy turning complex technical challenges into clear, compelling narratives and practical code that inspires developoer communities? Join our Innovative Team We are dedicated to growing our developer community by creating high-utility, use-case-based content and fostering meaningful technical connections. Our team ensures developers succeed by provviding the samples, architectural guidance, and storytelling they need to build global-scale AI applications. Partner with the best As a Senior Developer Advocate, you will bridge the gap between deep AI infrastructure and practical application development. You will collaborate with engineering and product teams to highlight our technology's capabilities through creative demos, while advocating for the needs of the global AI developer ecosystem. As a Senior Developer Advocate you will be responsible for: 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 Do what you love To be successful in this role you will: 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 Build your career at Akamai Our ability to shape digital life today relies on developing exceptional people like you. The kind that can turn impossible into possible. We’re doing everything we can to make Akamai a great place to work. A place where you can learn, grow and have a meaningful impact. With our company moving so fast, it’s important that you’re able to build new skills, explore new roles, and try out different opportunities. There are so many different ways to build your career at Akamai, and we want to support you as much as possible. We have all kinds of development opportunities available, from programs such as GROW and Mentoring, to internal events like the APEX Expo and tools such as Linkedin Learning, all to help you expand your knowledge and experience here. Learn more Not sure if this job is the right match for you or want to learn more about the job before you apply? Schedule a 15-minute exploratory call with the Recruiter and they would be happy to share more details. Compensation Akamai is committed to fair and equitable compensation practices. For US based candidates only - the base salary for this position ranges from $169,300 - $280,000/year; a candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. Compensation for candidates outside the US will vary. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). Akamai provides industry-leading benefits including healthcare, 401K savings plan, company holidays, vacation (in the form of PTO), sick time, family friendly benefits including parental leave and an employee assistance program including a focus on mental and financial wellness; Eligibility requirements apply.

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

Responsibilities

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