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Artificial Intelligence Engineer

Randstad

Remote

GBP 60,000 - 80,000

Full time

Today
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Job summary

A recruitment agency seeks a Developer Advocate focused on AI/GenAI to empower AI builders with practical samples and hands-on tutorials. This remote role includes responsibilities like maintaining GitHub repositories, creating educational content, and engaging with the AI community. Candidates should have a Bachelor's degree or equivalent experience, excellent technical writing, and skills in Python/Django. The position offers a pay rate of £350 per day for a 12-month contract.

Qualifications

  • Bachelor’s degree or equivalent experience.
  • Ability to build secure and enterprise-grade AI-enabled applications.
  • Excellent technical writing and visual communication skills.
  • Familiarity with cloud platforms or databases preferred.
  • Active Open Source contributor ideally.

Responsibilities

  • Build AI/GenAI sample applications including prompt pipelines.
  • Maintain and organize GitHub repositories for AI assets.
  • Produce step-by-step tutorials and demo videos.
  • Lead workshops, run office hours, and engage with the community.
  • Gather and relay community insights for product improvement.

Skills

Technical writing
AI development
Community engagement
Python/Django
Video editing

Education

Bachelor’s degree or equivalent experience

Tools

GitHub
Cloud platforms
Camtasia
Job description

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.
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