What you’ll do
- Develop & execute developer experience strategy: Design and implement a comprehensive strategy to build a thriving, engaged, and supportive developer community around our LLMs.
- Build & nurture community: Establish and grow our online presence (e.g., Discord, forums, GitHub Discussions) and spearhead offline engagement through meetups, workshops, and hackathons.
- Create world-class technical content: Produce high-quality, engaging technical content including tutorials, example projects, code samples, blog posts, documentation, demos, and videos that showcase the power and ease-of-use of our models.
- Champion developer needs: Act as the primary technical point of contact for our developer community. Manage GitHub issues, gather feedback, identify pain points, and advocate for developer needs internally to influence product roadmap and model improvements.
- Drive growth & adoption: Develop and implement creative “growth hacking” strategies to expand our developer base, increase model adoption, and drive awareness within relevant tech communities.
- Lead social media & outreach: Manage and grow our technical social media presence, engaging with developers, influencers, and the broader AI community.
- Collaborate cross-functionally: Work closely with our COO, platform engineers, and dataset engineers to ensure a seamless developer journey and to translate community insights into actionable product feedback.
What you’ll bring:
Must-haves:
- Strong AI/ML & engineering background: Proven experience as an AI/ML Engineer, Software Engineer working extensively with AI/ML models (LLM experience highly preferred), or a similar technical role.
- Hands-on development skills: Demonstrable ability to build practical, inspiring example applications and proof-of-concepts. Proficiency in Python is essential; experience with other relevant languages/frameworks (e.g., JavaScript/React for niche models) is a strong plus.
- Developer relations / community leadership: 3+ years of experience in Developer Relations, Developer Advocacy, Technical Community Management, or a similar role with a proven track record of building and engaging technical communities.
- Exceptional communication: Outstanding written, verbal, and presentation skills, with the ability to explain complex technical concepts clearly and engagingly to diverse audiences.
- Growth mindset & execution: Understanding of growth hacking principles and experience implementing strategies to drive user acquisition and engagement.
- GitHub & open source proficiency: Deep familiarity with Git, GitHub workflows, managing issues, and fostering open-source best practices.
- Passion & empathy for developers: A genuine desire to help developers learn, build, and succeed.
- Proactive & entrepreneurial: Self-starter mentality, comfortable with ambiguity, and able to thrive in a fast-paced, early-stage startup environment.
Nice-to-haves:
- Experience with local model deployment or managing basic GPU server setups.
- An existing network within AI, LLM, or specific developer communities (e.g., React).
- Experience contributing to or managing open-source projects.
- Familiarity with our initial niche specializations (e.g., React development).
- Experience organizing and running hackathons or developer events.
Why join us?
- Foundational impact: Be one of the first key hires in a company poised to redefine an aspect of AI. Your work will directly shape our success and the future of AI development.
- Cutting-edge technology: Work at the forefront of LLM innovation with a team of experts.
- Autonomy & ownership: Take full ownership of the developer experience and community strategy.
- Growth & leadership: Significant opportunity for professional growth as the company scales.
- Collaborative culture: Join a passionate, mission-driven team dedicated to building something truly special.
- Competitive salary, equity, and benefits.
Application
Please send your application to careers@farang.com.
About Farang
At Farang, we are pioneering a new generation of Large Language Model (LLM) architectures. Our innovative models are designed to be powerful yet accessible, capable of running locally or on basic GPU servers, and specialized for distinct niches (like React development, data analysis, etc.). We’re a passionate, early-stage team composed of AI scientists and experienced operators, on a mission to empower developers worldwide by building a vibrant community around our groundbreaking technology.