Software Tech Lead

About the role

We are looking for a Software Tech Lead to join an early-stage deep tech startup and help build and lead an agile and output-oriented team. You will play a crucial role in shaping the product's growth through influencing the architecture, driving code quality, developing software, growing the team and actively contributing to the codebase.

We are looking for someone passionate about taking on the deep tech challenge of building innovative structural optimization products. Structural optimization is not easy—it is scarcely applied in industry due to its complex intersection of civil/structural engineering and software engineering.

We prioritize results over processes, and your performance will be evaluated based on the quality and impact of your contributions, as well as your influence on team collaboration and delivery.

We are creating a scalable solution to a global problem: the construction industry is significantly inefficient, using more concrete and steel than is structurally needed. Our research team extracted 400 peer-reviewed academic papers, representing about 1,900 structures with an average structural inefficiency of 21%.

In this role, your software skills will optimize both performance and building structures—helping build more sustainable cities and managing a young team excited to create impact.

You will be one of the first software engineers. We currently have 3 software engineers and 12 CSEs (computational structural engineers) who are actively contributing to our code.

You will work closely with our CTO, who has relocated from Silicon Valley (SF) to Dubai (and Cairo). He brings experience working with large data sets at Pinterest and Insuretech—and is now focusing on AI-powered structural engineering.

What we are doing - Deep Core Tech:

- Engineering Scripts, which enable our computational structural engineers to automate engineering.

- Engineering Products, which are larger, more complex products that optimize structures.

- VAES.ai Workbench, where both Scripts and Products are housed (similar to Spotify’s Backstage).

- VAES.ai Client Portal, which allows clients to interact with our tech and generate savings.

- tBE, or the Built Environment, which is our research platform examining the impact of the built environment on the natural environment.

- Future work: LLM Product: When our foundational tech eventually matures, you will work on the intersection of cutting-edge LLM tech and practical civil engineering applications. Our product roadmap ETA on this is mid to end of 2026.

Our tech is already being implemented in real-life projects with significant savings—we are already generating impact.

Future Growth and Innovation - As our team scales, we dive into innovative technologies, including LLMs and Deep Learning, bringing tangible impact to the world. We will work on developing Agentic systems that design structures, creating distributed systems to process engineering calculations, and applying edge computing to provide scale and direct applications of Machine Learning.