🇺🇸 Generative AI Mentor Full time

We are seeking an experienced Generative AI Mentor to guide contributors in designing, developing, and deploying innovative AI solutions. This role emphasizes hands-on mentorship in cutting-edge generative AI development, leveraging modern frameworks and tools like LangChain, Retrieval-Augmented Generation (RAG), AI Agents, CrewAI, and Vector Databases such as Pinecone. You’ll play a vital role in fostering a thriving open-source community, empowering contributors to advance their skills while building impactful educational AI solutions.

- Mentorship in Generative AI Development: Provide guidance on leveraging tools like LangChain, RAG, AI Agents, and CrewAI to build generative AI solutions tailored for educational applications.
- Vector Database and RAG Integration: Mentor contributors on integrating vector databases (e.g., Pinecone) and retrieval-augmented generation pipelines to enhance AI capabilities.
- Code Review and Development Support: Review contributors’ codebases, offering detailed feedback to ensure quality, efficiency, and adherence to project standards.
- Workshops and Tutorials: Lead focused sessions on topics such as LLM fine-tuning, multimodal AI, and prompt engineering, helping contributors deepen their technical expertise.
- Ethical AI Implementation: Guide contributors on best practices for deploying generative AI tools responsibly, emphasizing fairness, inclusivity, and privacy.
- Collaboration in Open-Source Projects: Support a collaborative, community-driven development environment, encouraging knowledge sharing and collective problem-solving.

- Experience in Generative AI Development: 2+ years of hands-on experience with LLMs, RAG, AI Agents, and tools like LangChain or Pinecone.
- Proficiency in Modern AI Tools: Strong knowledge of Python and frameworks like Hugging Face Transformers, LangChain, and cloud computing APIs (e.g., Google Gemini AI).
- Strong Mentorship and Communication Skills: Ability to guide contributors with varying levels of experience, providing clear, actionable advice.
- Debugging and Problem-Solving Expertise: Skilled in identifying and resolving technical challenges in generative AI development, such as model integration and performance optimization.
- Commitment to Open-Source Values: Familiarity with open-source collaboration dynamics, with a focus on inclusivity, transparency, and community-driven impact.
- Ethical Awareness: Deep understanding of ethical considerations in AI applications, particularly in educational contexts.

- Variable Hourly Pay: Compensation based on mentor availability and the number of hours dedicated per month.
- Commitment: Flexible schedule, allowing mentors to work based on their availability.
- Remote Work Setup: Fully remote, enabling global participation.
- Diversity and Inclusion: Reality AI Lab is an equal opportunity organization, committed to fostering a diverse and inclusive environment.