Python Software Engineer GenAI

Join Clario , part of Thermo Fisher Scientific as a Backend Software Engineer in our GenAI department and play a leading role in building the next generation of AI-powered solutions for the biopharmaceutical and healthcare industries. As a senior engineer, you will architect, develop, and deploy advanced agentic and multi-modal AI systems that drive innovation, improve patient outcomes, and set new industry standards. This is a unique opportunity to work at the forefront of generative AI, collaborating with world-class experts in a dynamic, mission-driven environment.

What You’ll Be Doing

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.

What We’re Looking For

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 (AWS and GitLab CI/CD preferred)

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

We are an equal opportunity employer and all qualified applicants will receive c