Our client is an innovative company, founded in 2019, which is at the forefront of the machine learning (ML) deep tech industry. It specializes in accelerating research and development across a diverse range of sectors, including pharmaceuticals, biotechnology, chemicals, energy, electronics, cosmetics, and food. The startup’s AI no-code platform, streamlines experiment planning and enhances the R&D process, allowing users to easily integrate AI and ML technologies into their workflows.
The startup’s commitment to transforming the R&D landscape and its significant financial backing underscore its potential to make a substantial impact on global challenges in climate, health, energy, and food.
In the role of Software Engineer - Python, your primary focus will be the maintenance and enhancement of the advanced cloud-based AI software platform. Collaborating closely with a team of developers and DevOps engineers, you will expedite the deployment of pioneering solutions to a diverse clientele, including industry leaders, burgeoning start-ups, and premier academic institutions globally. You will architect, code, and upkeep our cutting-edge AI platform tailored for autonomous laboratories, focusing on software architecture, APIs, SDKs, and databases. You will craft and maintain Python code that is as versatile and dependable as a Swiss Army knife, ensuring efficiency, scalability, and reusability. You will drive the adoption and execution of industry best practices within the team to guarantee product excellence and seamless integration, including test automation, CI/CD, and code reviews. You will play an active role in shaping the technological trajectory of our platform. You will provide guidance and mentorship to junior and mid-level engineers, fostering their professional development and expertise. Lastly, you will work collaboratively with a skilled team of developers and engineers to conceive and implement groundbreaking solutions that expand the frontiers of scientific research.
Our client operates at the intersection of innovation and practicality, leveraging a robust suite of technologies that includes Python for its versatility, PostgreSQL for robust data management, Docker for containerization, GitHub for version control, OpenAPI for interface design, microservices architecture for scalability, Cloud solutions for global reach, and Atlassian products for project collaboration.