AI Engineer - LLM Solutions

About the role

AECOM is hiring an AI Engineer for its AI Engineering team, which builds AI-driven technology that makes infrastructure and buildings more efficient and sustainable. As part of the Assurance & Insight team, you will design, implement and deploy LLM-based solutions into production, within a lean, highly technical team backed by the scale of a global engineering firm.

Key responsibilities

• Use various LLM models with modern 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 that turn unstructured data into structured knowledge
• 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 workloads, monitoring and observability tools (Prometheus, Grafana, Elastic stack), Terraform, Azure, machine learning, and 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 session with two engineers, and a 30-minute culture-fit meeting with leadership.