ARTPARK @ IISc is seeking a Developer Advocate for “Calibrate,” a no-code AI agent evaluation tool specifically designed for nonprofits. This role is pivotal in bridging the gap between the engineering team and the social sector organizations that need to discover, understand, and adopt the product. The primary mission is to ensure that the public communication of Calibrate’s progress matches the rapid pace of its feature development, preventing potential users from rebuilding existing solutions or getting lost in complex documentation.

The Developer Advocate will own the entire user journey, from the first search result to community-driven adoption. Key responsibilities include writing tutorial-style documentation that guides users through AI evaluation best practices, creating short product demo videos, and transforming technical “brain dumps” into polished thought leadership posts. Additionally, the role involves managing a WhatsApp community, running workshops and webinars, and executing marketing strategies on platforms like Product Hunt and Hacker News to reach AI-for-good and civic tech circles.

Ideal candidates have 1–3 years of experience in developer relations or technical content creation, with a strong ability to write clean prose and a comfort level with APIs and YAML configs. A basic understanding of LLMs is required, and experience building real AI products is a significant bonus. This position is based in Bengaluru and offers a unique opportunity to work at the intersection of deep-tech research and social impact within the prestigious IISc ecosystem.

Target Audience: Professionals with 1–3 years of experience in DevRel, developer marketing, or technical content creation for open-source/dev tools.

Geographic Eligibility: Bengaluru, India.

Tangible Benefits: Competitive salary, mentorship within the IISc ecosystem, and the opportunity to lead the adoption of a high-impact AI tool for the social sector.

Application Deadline: Rolling (Apply as soon as possible).

Location : Bengaluru, India

Categories : Machine Learning . Others

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