Full Stack AI Developer

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Revvity

WebsiteLinkedInAll Job Openings

10,000+ employees

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

Biotechnology • Pharmaceuticals • Healthcare Insurance

Revvity is a science-based solutions company that leverages innovation across life sciences and diagnostics to improve lives everywhere. The company serves a diverse customer base, including academia, pharma/biotech, clinical laboratories, and healthcare professionals. Its extensive range of products and services includes genomic analysis, clinical diagnostics, cell and gene therapy, drug discovery, precision medicine, and advanced automation solutions. Revvity is committed to empowering scientists with cutting-edge tools and comprehensive solutions to enhance research and development, diagnostics, and clinical testing. With a focus on accelerating time to market while ensuring quality, Revvity is dedicated to revolutionizing next-generation breakthroughs in healthcare and life sciences.

📋 Description

• Design, develop, and maintain AI-enabled applications and services using modern software engineering practices. • Build and optimize data pipelines and machine learning workflows that improve performance, reliability, and usability. • Collaborate with product and engineering partners to translate requirements into clear technical solutions. • Write clean, testable code and help establish engineering standards for performance, security, and maintainability. • Monitor deployed systems, troubleshoot issues, and iterate based on real-world feedback and metrics.

🎯 Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). • Strong programming skills in at least one modern language such as Python, Java, or C#. • Experience building software services using APIs, databases, and version control. • Experience with machine learning or AI frameworks and developing production ML workflows (preferred). • Familiarity with cloud services, containerization, and deployment practices (preferred). • Experience with data engineering tasks such as ETL/ELT, data quality checks, and performance tuning (preferred).

🏖️ Benefits

• Experience personalized career journeys with growth-oriented development opportunities. • Engage in purpose-driven work that makes a positive impact on society. • Be part of a values-driven culture that encourages collaboration and fresh ideas.