Engineer II, Artificial Intelligence

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

About Company:

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving sophisticated analytical challenges, improving patient diagnostics and therapies or growing efficiency in their laboratories, we are here to support them. Our distributed team of more than 100,000 colleagues delivers an outstanding combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.

What will you do?

We are seeking a hands-on Senior AI Engineer to design, build, and deploy scalable AI driven and data intensive solutions supporting multiple initiatives. This role will focus on Generative AI enabled applications and enterprise workflow automation.

You will work closely with product owners, business stakeholders, and architects to convert business use cases into production ready AI solutions.

Key Responsibilities

Develop and deploy GenAI powered applications, including RAG based solutions and agentic workflows.

Build and maintain Python based microservices and APIs (FastAPI preferred).

Develop and optimize data models for analytics and AI use cases.

Contribute to CI/CD pipelines, DevOps best practices, and release management.

Collaborate with cross-functional teams to ensure alignment between business needs and technical solutions.

Support production systems, performance tuning, and continuous improvements.

Required Qualifications:

3+ years of experience in backend development and developing AI solutions.

Strong programming expertise in Python.

Hands-on experience with SQL.

Experience working on AWS or Azure cloud platforms.

Exposure to building or integrating LLM/RAG based solutions.

Experience with Git based workflows, CI/CD, and unit testing.

Strong problem solving and analytical skills.

Experience with containerization (Docker/Kubernetes).

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent

Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 1,20,000 colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need.