Senior Software Engineer

In AECOM s AI Engineering team your code will directly shape the physical world around us. We build AI-driven technology that revolutionises how infrastructure and buildings are designed and engineered; reducing waste, cutting CO 2, and making the built environment more efficient and sustainable. This is where software has measurable, real-world impact.
With our AI Engineering team we ve created a unique setup: a lean, highly technical team with the speed and ownership of a start up, backed by the scale, resources, and domain expertise of one of the world s leading engineering firms. There has never been a better time to be at AECOM. We are leading the industry s AI transformation, and with our people and technology we deliver excellence and innovate with impact.
We invite you to bring your bold ideas and big dreams to solve the world s most complex challenges. We're one global team driven by our common purpose to deliver a better world. Join us.
As a Senior Software Engineer, you ll work at the intersection of software engineering and machine learning operations. Your role is to ensure our AI models run reliably, efficiently, and at scale turning cutting-edge research into production-ready tools that deliver real value to users.

What You ll Do

• Develop backend systems and APIs that integrate AI into our SaaS platform.
• Take ownership of the ML performance, monitoring, availability, and security.
• Collaborate with ML engineers, data engineers, and product teams to deliver features end-to-end.
• Contribute to architecture decisions for scalable, cloud-native ML infrastructure.

Qualifications

Must-Have Qualifications

• Bachelor s or Master s degree in Computer Science, Engineering, or related field (or equivalent experience).
• Solid programming skills in Python (plus experience with frameworks such as FastAPI, Flask, or Django).
• Hands-on experience with ML model deployment and monitoring in production.
• Knowledge of containerization (Docker).
• Experience building CI/CD pipelines (GitHub Actions).
• Experience working within startups / scaleups.
• Strong communication skills and a collaborative mindset.
• Knowledge of Agile delivery models (Scrum/Kanban) and software development best practices.
• 3+ years of hands-on experience building production-grade systems.

Preferred Skills

• Understanding of optimizing both CPU-bound and GPU-bound workloads.
• Knowledge of monitoring and observability tools (e.g. Prometheus, Grafana, ELK stack).
• Experience with Infrastructure as Code (Terraform).
• Experience with Azure.
• Identifying and resolving bottlenecks in distributed machine learning workloads (knowledge of low-level languages and CUDA library is a plus).
• Experience in building design automation products within the construction industry.