Artificial Intelligence Engineer

Developer Advocate, AI/GenAI

Location: Remote

Contract length: 12 months

Pay rate: £350 per day

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.