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AI Engineer who enjoys being both hands-on in the code and out in the community. This is a role for someone who doesn’t just build things but can explain them, demo them, and inspire others to build too. You’ll spend your time creating real-world examples, demos, and technical content that make complex AI workflows feel simple. Alongside that, you’ll represent the team externally whether that’s at meetups, conferences, or online—helping developers understand what’s possible. This role sits at the intersection of engineering, storytelling, and community. You’ll also play a key role in feeding insights from developers back into the product, helping shape what gets built next.
Job Responsibility:
Build and showcase practical AI applications using modern models, tools, and frameworks
Create high-quality technical content that developers actually want to use
Develop sample projects, starter templates, and reference implementations
Engage directly with developers through events, workshops, and online communities
Represent the team at conferences and meetups, delivering clear and engaging demos
Collaborate with product and engineering teams to improve the developer experience
Gather feedback from users and translate it into actionable product insights
Stay up to date with the latest trends in AI, LLMs, and developer tooling
Requirements:
3+ years of experience as a Software Engineer or AI/ML Engineer
Strong hands-on coding ability, with experience building and shipping projects
Experience working with AI tools, LLMs, or agent-based systems
Proficiency in Python and/or TypeScript
Active GitHub presence or portfolio of technical projects
Ability to explain complex technical concepts in a clear, engaging way
Experience creating technical content (blogs, demos, videos, or tutorials)
Confidence presenting to technical audiences (meetups, talks, workshops, etc.)
Interest in engaging with developer communities (online or in-person)
Degree in Computer Science or equivalent practical experience