AI Engineer (LLM Solutions)

About the role

AECOM's AI for Engineering team is looking for an AI Engineer in its Zug team. The team builds AI-driven technology that changes how infrastructure and buildings are designed and engineered, reducing waste and CO₂. You will design, implement and deploy LLM-based solutions into production within a lean, highly technical team.

Key responsibilities

• Use various LLM models with recent approaches such as agentic workflows and context engineering to solve challenging problems.
• Work end-to-end on ML solutions, from data preparation and evaluation through deployment and monitoring.
• Develop text representation and semantic extraction pipelines for structured knowledge from unstructured data.
• Collaborate with product teams and domain experts to integrate LLM features into the SaaS platform.

Required profile

• Master's degree in Computer Science, Data Science, Computational Linguistics or a related field.
• Proven experience working end-to-end on software solutions and CI/CD pipelines.
• Experience building RAG systems, prompt engineering and data processing.

Required skills

• Hands-on experience with LLM techniques for text representation and semantic data extraction.
• Knowledge of best practices and evaluation techniques.
• Proficiency in Python and Pydantic validation.
• Preferred: understanding of CPU-bound and GPU-bound workload optimization, monitoring and observability tools (Prometheus, Grafana, Elastic stack), Infrastructure as Code (Terraform), Azure, machine learning, and experience building products for the construction industry.

Hiring process: 25-minute screening call, a take-home challenge, a combined technical and cultural interview, a 1-hour whiteboard interview with two engineers, and an in-person Day 1 onboarding.