Applied AI Staff Engineer — Remote, Equity & Impact

Vetcove Inc.

Northern (KY)

Hybrid

USD 150,000 - 230,000

Full time

14 days+
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Benefits offered by this job

100% remote within the USA
Medical, Dental, and Vision Insurance
Automatic 401k contribution
Employee referral program
At home office set up
Bi-annual company retreats
Open vacation policy
Equity
Monthly team events

Job summary

Vetcove is seeking an experienced Applied AI Staff Engineer to integrate AI models into our veterinary software and enhance product capabilities. This fully remote role situates you with a fast-moving, highly collaborative team across the US.

You will evaluate models, build evaluation frameworks, collaborate with data science, and tune AI models using Python to improve user experiences. CTO collaboration is key to ongoing platform evolution.

Qualifications

  • Bachelor's degree in CS, engineering, or related field.
  • 4+ years building production web applications in modern frameworks.
  • Strong knowledge of AI models, agent SDKs, and fine-tuning.

Responsibilities

  • Evaluate and select AI models based on business needs.
  • Design evaluation frameworks and observability for AI features.
  • Collaborate with data science to fine-tune models.
  • Develop and maintain AI-powered features using Python.
  • Test model performance and troubleshoot issues.
  • Stay updated on AI advancements and drive innovations.
  • Collaborate with CTO and engineering teams to evolve the platform.

Skills

AI models
Agent SDKs
Fine-tuning AI models
Back-end technologies
Data modeling
Team collaboration

Education

Bachelor's degree in Computer Science or Engineering

Tools

Python

Job description

Vetcove is seeking an experienced Applied AI Staff Engineer to integrate AI models into our veterinary software and enhance product capabilities. This fully remote role situates you with a fast-moving, highly collaborative team across the US.

You will evaluate models, build evaluation frameworks, collaborate with data science, and tune AI models using Python to improve user experiences. CTO collaboration is key to ongoing platform evolution.

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