Python Developer Intern

e.constructWe are an engineering firm that specializes in providing elegant engineering solutions for complex challenges. e.construct is a fast-growing firm with 7 offices around the world. At our core, we question how the very nature of how to evolve the structures that we inhabit to increase their performance and value.
we design structures such as bridges, high-rise design, precast concrete engineering and post-tensioning design. The firm's core work is structural engineering; however, e.construct is increasingly holistic at its approach to buildings and it has divisions in MEP, Geotechnical and emerging construction technology such as 3D printing of concrete, technology and 3D laser scanning.
VAES.aiWe are a tech startup that is being incubated in the technology lab of e.construct and we employ technology to empower and eventually transform engineering. VAES’s mission is to reduce the amount of raw materials we design in our buildings and bridges by using optimization algorithms and machine learning.
VAES consists of a team of software developers, civil engineers, machine learning experts, architects and graphic designers that builds tools that engineers can use to design and manufacture the next generation of cities.

Responsibilities

• Assist in the design and development of end-to-end software solutions for Structural Engineering applications using Python.
• Collaborate with senior engineers to build and maintain tools that enhance and optimize building components.
• Learn and apply best practices in software development, including writing clean, testable Python code and contributing to unit testing.
• Work closely with the core engineering team and stakeholders to gather requirements and refine software features.
• Support the development of scalable and efficient backend systems as part of a cross-functional team.
• Participate in the full software development lifecycle — from idea generation and prototyping to deployment and maintenance.
• Demonstrate strong collaboration skills and an eye for both function and design in user-facing components.
• Exposure to or interest in Machine Learning is a plus and will be encouraged throughout the internship.