Artificial Intelligence Engineer

Randstad; Remote; GBP 60,000 - 80,000; Full time

Job summary

A leading staffing agency is seeking a Developer Advocate focused on AI technology. This role involves creating practical AI applications, maintaining GitHub repositories, and fostering community engagement through tutorials and workshops. The ideal candidate will have a background in Python or Django, excellent technical writing skills, and experience in community roles. This is a remote position for up to 12 months, with a pay rate of £350 per day.

Qualifications

• Able to build secure and enterprise-grade AI-enabled applications.
• Excellent technical writing abilities; skilled in visual communication.
• Familiarity with cloud platforms or databases and UI/UX principles.

Responsibilities

• Build AI / GenAI sample applications and maintain GitHub repositories.
• Produce tutorials, quickstarts, and demo videos for developers.
• Engage with the AI developer community through workshops and Q&A sessions.

Skills

Technical writing

Community engagement

Python / Django

AI application development

Education

Bachelor’s degree or equivalent experience

Tools

Cloud platforms

Video editing tools (e.g., 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.