Lead AI engineering across core products and research tooling. Evaluate, fine-tune, and build on top of foundation models. Lead a globally distributed AI engineering team.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Position: VP of AI Engineering
Type: Full-time
Compensation: $1.5M–$2M/year
Location: Remote
Commitment: 10–40 hours/week
Role Responsibilities
- Own and lead AI engineering across core products and research tooling.
- Evaluate, fine-tune, and build on top of foundation models; train non-LLM models where required.
- Establish best practices for model evaluation, human-in-the-loop data, and feedback systems.
- Lead, scale, and mentor a globally distributed AI engineering team.
- Contribute hands-on to model development and backend systems as needed.
- Set technical direction for new AI tools and platforms in close collaboration with Product and Engineering.
- Partner directly with the CEO on technical strategy, hiring, and execution.
- Support customer-facing technical discussions when required.
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Requirements
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- Deep, hands-on experience building and deploying AI/ML systems in production environments.
- Strong background in training models from scratch and fine-tuning large language models.
- Advanced understanding of evaluation frameworks, human-in-the-loop systems, and data quality.
- Proven technical leadership with a strong execution-oriented mindset.
- Ability to operate effectively in fast-paced, ambiguous environments.
- Excellent communication skills across technical and non-technical stakeholders.
Application Process (Takes 20 Min)
- Upload resume
- Interview
- Submit form
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