Pear VC
Location : Remote (in-person, NY)
Type:
Full-time About Us
We’re an early-stage, venture-backed healthtech company using AI Agents to drive real-world impact in the life sciences. Our clients include leading pharmaceutical companies who trust us to deliver insights from complex datasets. We’re looking for a highly versatile engineer who can operate at the intersection of AI, data engineering, and software development. You’ll work on advancing our AI systems, scaling data workflows, and ensuring our platform continues to deliver exceptional performance for enterprise clients. What You’ll Do
Build and optimize AI-driven data pipelines
Enhance agentic system architecture and monitoring
Integrate new data sources and deploy new AI agent capabilities
Conduct technical analysis to improve performance and scalability
Must-Have Qualifications
A desire to improve
Exceptional Python skills
Experience building applications with LLMs
Proficiency in SQL and familiarity with ORM tools (e.g., SQLAlchemy)
Solid understanding of relational databases & cloud data warehouses
Strong problem-solving skills and ability to design scalable technical solutions
Able to work independently
Preferred Qualifications
Experience in life sciences, healthcare analytics, biomedical research, or enterprise AI software
DevOps skills (e.g., CI/CD pipelines, Docker, Kubernetes, cloud infrastructure)
Experience with distributed systems
Compensation & Benefits
Competitive salary based on experience
Flexible, remote-first work environment
Why Join Us
Early hire at a fast-growing, VC-backed company
Fundamentally change how fast therapies can reach patients
Work directly with the founding team
Exposure to high-value enterprise challenges
#J-18808-Ljbffr
Full-time About Us
We’re an early-stage, venture-backed healthtech company using AI Agents to drive real-world impact in the life sciences. Our clients include leading pharmaceutical companies who trust us to deliver insights from complex datasets. We’re looking for a highly versatile engineer who can operate at the intersection of AI, data engineering, and software development. You’ll work on advancing our AI systems, scaling data workflows, and ensuring our platform continues to deliver exceptional performance for enterprise clients. What You’ll Do
Build and optimize AI-driven data pipelines
Enhance agentic system architecture and monitoring
Integrate new data sources and deploy new AI agent capabilities
Conduct technical analysis to improve performance and scalability
Must-Have Qualifications
A desire to improve
Exceptional Python skills
Experience building applications with LLMs
Proficiency in SQL and familiarity with ORM tools (e.g., SQLAlchemy)
Solid understanding of relational databases & cloud data warehouses
Strong problem-solving skills and ability to design scalable technical solutions
Able to work independently
Preferred Qualifications
Experience in life sciences, healthcare analytics, biomedical research, or enterprise AI software
DevOps skills (e.g., CI/CD pipelines, Docker, Kubernetes, cloud infrastructure)
Experience with distributed systems
Compensation & Benefits
Competitive salary based on experience
Flexible, remote-first work environment
Why Join Us
Early hire at a fast-growing, VC-backed company
Fundamentally change how fast therapies can reach patients
Work directly with the founding team
Exposure to high-value enterprise challenges
#J-18808-Ljbffr