AI/ML Development Engineer
At a glance
Mid-level AI Engineering role at Thermofisher. Uppsala · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build graph databases for AI work involving biomedical agents, protein folding, antibody affinity and sequencing analysis
- Turn scientists’ needs into RAG prototypes, then work with software engineers to move them into production
- Work with R&D scientists to define requirements and add features to production systems
- Encourage use of the AI platform and graph structures, and track how teams use them
What you bring
- A master’s or doctoral degree in a quantitative field, paired with relevant industry experience
- At least three years in software engineering, AI, data engineering, computational biology or machine learning
- Practical experience building and scaling graph-database platforms, plus developing LLMs and enterprise RAG solutions
- Production cloud experience and hands-on use of Jira and GitHub
Who this fits
This role suits someone who can explain technical ideas to non-technical partners and work with scientists and software engineers. The position is based in Uppsala, with office attendance required three days each week.
From the employer
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our mission to life every day: enabling our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources they need to achieve their career goals while developing solutions to some of the world’s toughest challenges, from protecting the environment and keeping food safe to helping find cures for cancer.
How will you make an impact?
Join our AI & Advanced Analytics team as an AI/ML Development Engineer, focusing on knowledge graph and retrieval-augmented generation (RAG) systems built on biological data.
Together with the team, you will apply advanced analytics, machine learning and AI to support proteomics discoveries across our R&D organization. You’ll help develop and deploy AI solutions that contribute to novel products, improve operational efficiency and support better decision-making.
What will you do?
You will develop AI and graph-based capabilities in partnership with scientists and software engineers. You’ll help turn research needs into practical RAG systems and production solutions, while supporting adoption of our AI platform and graph data structures.
Key responsibilities include
• Build next-generation graph databases to support AI applications and productivity, including biomedical agents, protein folding and antibody affinity, and next-generation sequencing analysis.
• Gather requirements from scientists who need RAG-augmented systems.
• Develop proof of concepts for RAG systems and bring them into production in collaboration with software engineers.
• Promote and monitor the use of our AI platform and graph data structures.
• Partner with R&D scientists to identify requirements and develop features for production systems.
How will you get here?
You are a strong problem solver with attention to detail and a value-driven approach to your work. You communicate technical concepts clearly to non-technical stakeholders and are motivated to improve efficiency and optimize development and delivery.
We are looking for someone who has
• A PhD or master’s degree in data science, computer science, statistics, mathematics or a related quantitative field, combined with relevant industry experience.
• At least three years of industry experience in software engineering, artificial intelligence, data engineering, computational biology or machine learning.
• Hands-on experience building and scaling platforms with graph databases.
• Strong programming experience with languages and frameworks such as Python, C++, Rust, Cypher, SPARQL and SQL.
• Experience developing and running large language models (LLMs) and creating enterprise RAG solutions.
• Experience with production workloads on cloud platforms such as AWS, Azure or GCP.
• Experience using Jira and GitHub.
• Strong communication skills, including the ability to present technical concepts to non-technical stakeholders.
The following experience is considered an advantage
• Familiarity with big data technologies such as Spark or Databricks.
• A background in proteomics.
• Knowledge of Databricks.
Location
This position is based in Uppsala, Sweden. Office work is required three days per week.