precisionmedicinegroup
AI Engineer
At a Glance
- Location
- United States
- Work Regime
- remote
- Experience
- 3+ years
- Posted
- 2026-02-17T16:50:33-05:00
Key Requirements
Required Skills
Certifications
- SAFe
Domain Knowledge
- Clinical
- Education
- Engineering
- Pharmaceutical
Benefits & Perks
onary annual bonus, health insurance, retirement savings benefits, life insu
Requirements
Education
Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field.
Work Experience:
3+ years of hands-on experience in machine learning engineering or AI solution delivery.
Experience working with Agile (SAFe) teams, iterative delivery cycles, and DevOps practices.
Prior experience with deploying and scaling GenAI or ML-based solutions. Within clinical/pharmaceutical/CRO industries a plus.
Responsibilities
Build and deploy enterprise-ready AI solutions using LLMs, other GenAI approaches, and deep learning capabilities.
Scale out AI solutions: optimize performance of solutions, automate deployment and testing
Rapidly prototype and iterate on AI applications using Azure, AWS, and off-the-shelf tools.
Partner with the AI Solutions Architect to ensure scalable, secure, and compliant system design.
Develop APIs and lightweight UIs (e.g., Dash, Flask and others) to deliver AI tools to end users.
Stay current on emerging AI technologies, including vector databases, RAG pipelines, and productivity AI platforms.