Senior AI Engineer
Senior AI Engineer
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Job Description
Full disclosure of client will be revealed at the appropriate time.
Role Overview:
We are seeking several senior AI Engineer to integrate AI capabilities across the companys product teams. This position involves cross-functional collaboration tailored to the candidates 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 Notions 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 Dont Need:
- Traditional ML/research scientists without a product focus.
- Data scientists who primarily build models but dont 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.
Employment Type
Full Time
