Senior AI Engineer

Role Overview:

We are seeking several senior AI Engineer to integrate AI capabilities across the company's product teams. This position involves cross-functional collaboration, tailored to the candidate's expertise. As the first dedicated AI engineering hire, you will play a pivotal role in guiding the company through the evolving startup landscape where AI drives significant efficiency and growth.

Ideal Candidate Profile:

• Experienced full-stack software engineer (7-12 years) with a strong passion for AI.
• Proven track record of integrating AI tools beyond basic coding assistants (e.g., Cursor AI, GitHub Copilot).
• Direct experience with OpenAI APIs or implementing open-source LLMs.
• Proficient in JavaScript and Python.
• Collaborative approach, working closely with product teams.
• Background in developing product features, not just researching ML models.

Preferred Backgrounds:

• Engineers from Notion's AI team.
• Product engineers with experience in AI features.
• Software engineers who have transitioned to AI-focused product roles.
• Engineers addressing privacy/security issues related to AI.

What We Don't Need:

• Traditional ML/research scientists without a product focus.
• Data scientists who primarily build models but don't ship product features.
• AI evangelists or customer-focused roles lacking hands-on engineering.
• Engineers without practical LLM implementation experience.
• Candidates with less than 7 years of experience.

Unique Aspects of This Role:

• Hands-on engineering role with 100% coding responsibilities.
• Role shaped around individual strengths and experience.
• Cross-functional collaboration across various teams (Enterprise, CX, etc.).
• Opportunity to be our first dedicated AI engineer in a long-term role.
• Contributing to the modern startup model where small teams leverage AI for significant impact.

Candidate Dealbreakers:

• Lack of hands-on programming experience with LLMs or AI tools.
• No experience integrating AI into practical workflows.
• Limited to basic AI coding assistants.
• No demonstrated product engineering experience.
• Too research-focused without product delivery experience.

Key Focus Areas:

• Emphasize full-stack product engineering with a proven track record of building end-to-end AI features.
• Prioritize genuine AI integration experience, ensuring candidates have hands-on experience with open-source LLMs and have integrated AI into user-facing products.
• Focus on product impact, seeking candidates who have demonstrated turning technical work into tangible product improvements, aligning with our mission of AI-driven product innovation.