Note: The job is a remote job and is open to candidates in USA. Clario, part of Thermo Fisher Scientific, is seeking a Backend Software Engineer in their GenAI department to build AI-powered solutions for the biopharmaceutical and healthcare industries. The role involves architecting, developing, and deploying advanced AI systems while collaborating with experts to drive innovation and improve patient outcomes.

Responsibilities

• Design, develop, and deploy robust AI-powered applications, with a focus on agentic and multi-modal AI systems
• Architect scalable, production-grade software solutions using modern programming languages (Python preferred) and AI/ML frameworks (e.g., PyTorch)
• Lead the end-to-end development lifecycle: from ideation and prototyping to deployment and monitoring in cloud environments (AWS preferred)
• Collaborate closely with AI researchers, scientists, software developers, and product managers to translate business needs into technical solutions
• Build and optimize data pipelines for training, evaluating, and serving AI models
• Implement best practices for code quality, testing, CI/CD, and DevOps within the GenAI team
• Mentor and guide junior engineers, fostering a culture of technical excellence, innovation, and continuous learning
• Stay current with advancements in AI, agentic systems, cloud engineering, and drive their adoption within the team
• Contribute to strategic planning, technical roadmaps, and cross-functional initiatives that align with organizational goals

Skills

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 3+ years of software engineering experience with a strong track record of building cloud solutions (AWS or similar platforms)
• Strong proficiency in Python or other programming languages such as Go
• Experience developing and maintaining APIs in Python using frameworks such as FastAPI
• Hands-on experience deploying and operating backend services in Kubernetes-based environments
• Experience working with relational databases and vector databases
• Experience serving and operationalizing models in cloud environments using technologies such as Amazon SageMaker or Bedrock
• Strong understanding of cloud architectures and DevOps practices
• Proven ability to lead complex technical projects and mentor other engineers
• Excellent problem-solving, communication, and collaboration skills
• Strong commitment to code quality, security, scalability, and performance
• Passion for innovation and staying current with emerging technologies
• Python preferred
• AWS preferred
• AWS and GitLab CI/CD preferred

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