Developer Relations Engineer

As a Developer Relations Engineer, you will play a pivotal role in engaging, educating, and supporting the developer community. Your primary focus will be on driving awareness and adoption of edge AI technology through a combination of technical content, community engagement, and hands-on development. You'll act as a bridge between the engineering team and the broader developer community, using your expertise to empower developers to build, optimize, and deploy edge AI models effectively.

This role offers potential for growth, learning, and impact within a collaborative and inclusive environment.

Primary Responsibilities

Community Engagement: Create and maintain strong relationships with developers across social media, online community channels, community programs, and events. Try new approaches, new channels, and new messages. Developers are humans with different ways of engaging with people.

Content Creation: Craft high-quality technical content, including blog posts, tutorials, videos, and documentation, to support developers on their edge AI journey. Be creative and monitor trends in the industry and in the AI communities.

Advocacy: Be the voice of the developer community, ensuring their feedback shapes platform development and enhances the overall developer experience.

Events and Workshops: Organise and participate in developer events, hackathons, webinars, and workshops to promote the platform and engage with the community.

Support: Be part of the team providing technical guidance. Help developers troubleshoot issues and optimise their use of our tools, always striving to make their experience seamless and productive.

Anticipate travelling up to 30% to engage strategic developer communities.

Proven experience in Developer Relations, Developer Advocacy, or a similar role, with a focus on AI and IoT solutions.

Proficient in languages commonly used in ML and edge AI (e.g., Python, C++) and familiar with ML workflows and deployment.

Experience creating technical content, including blog posts, tutorials, videos, and documentation.

Excellent communication and presentation skills to explain complex technical concepts to diverse audiences.

Demonstrated ability to build and nurture developer communities, both online and offline.

Experience with LLMs, VLMs, AI agents or robotics is a plus.

Fluency in a second language is highly valued., * Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience. OR

• Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Applications Engineering, Software Development experience, or related work experience. OR
• PhD in Engineering, Information Systems, Computer Science, or related field.
• 1+ year of any combination of academic and/or work experience with a programming language such as C, C++, Java, Python, etc.
• 1+ year of any combination of academic and/or work experience with debugging techniques.

Our client is a leading edge AI platform, enabling companies to build smarter edge products. Their technology empowers over 280,000+ developers to bring more machine learning products to market faster. Enterprise teams develop industry-specific solutions in weeks instead of years because of a robust platform with custom pre-processing blocks and deployment blocks, which make it significantly easier to put a trained model onto a device. They believe that data-centric engineering is the future of industry transformation, unlocking a positive impact on our society and environment.