Developer Advocate, AI/GenAI
Location: Remote
Contract length: 12 months
Pay rate: £350-400 per day (dependent on skills/experience)
Level: Junior–Mid
Overview:
As a Developer Advocate focused on AI/GenAI, you will empower AI builders with practical LLM/RAG samples, vector search demos, and hands-on tutorials. You’ll foster engagement and growth in the AI developer community while ensuring GitHub advocacy repositories remain organized, discoverable, and up-to-date.
Key Responsibilities:
* Build AI/GenAI sample applications, including prompt pipelines, embeddings, retrieval-augmented generation (RAG), and evaluation/reference implementations.
* Maintain GitHub repositories and automation for AI assets; standardize repo structure, documentation, and contribution models.
* Produce step-by-step tutorials, quickstarts, and clear documentation; record short demo videos and walkthroughs.
* Lead workshops, run office hours, and deliver talks/webinars to engage and support the AI developer community.
* Collect insights and feedback from forums, Slack, and events; relay key findings to product and documentation teams.
* Proactively improve the experience for Python/Django developers building AI solutions.
Jobs to Be Done:
Typical tasks and objectives for this role include:
Sample App and Demo Creation:
* Design and implement clear, practical examples using large language models (LLMs), vector search, prompt pipelines, and retrieval-augmented architectures (RAG).
* Provide reference implementations with thoughtful trade-off explanations and documented code.
Repository and Automation Management:
* Organize and tidy GitHub repos for AI assets, establishing effective automations (CI), templates, and contribution guidelines.
* Curate issues, pull requests, and ensure comprehensive READMEs and discoverability features.
Educational Content Development:
* Write concise, actionable tutorials, how-to guides, and walkthroughs for a variety of developer skill levels.
* Script and record short demo or explainer videos, highlighting new techniques and contribution best practices.
Community Engagement:
* Host or participate in workshops, office hours, and live Q&A sessions to foster engagement and answer questions.
* Actively participate in developer forums, Slack channels, and community threads to support users and source feedback.
Feedback and Product Advocacy:
* Gather, analyze, and deliver key community insights to product and documentation teams to influence improvements and new features.
* Maintain a feedback loop to ensure resources and docs continue to meet developer needs.
Developer Experience Stewardship:
* Proactively identify and address pain points impacting Python/Django-based AI solution builders.
* Recommend improvements to sample code, documentation, and community processes.
Qualifications:
* Bachelor’s degree or equivalent experience.
* Able to build secure and enterprise grade AI-enabled applications and clearly explain design and trade-offs.
* Excellent technical writing abilities; skilled in visual communication and demo storytelling.
* Preferred: familiarity with cloud platforms or databases, Python/Django for AI development, understanding of basic UI/UX principles, and experience with video editing tools (e.g., Camtasia).
* Ideally an active Open Source contributor.