AI Engineer: LLM-Driven Infrastructure & Impact

AECOM; Oslo fylke; On-site; NOK 900,000 - 1,200,000; Full time

Job summary

AECOM in Oslo, Norway is seeking an AI Engineer to design, implement and deploy LLM-based solutions that improve infrastructure design and operation. You will work in an agile, high‑velocity team building scalable software with real‑world impact.

You will collaborate with product teams and domain experts to integrate LLM features into our SaaS platform, handle data preparation, evaluation, deployment and monitoring, and help advance CI/CD practices and observability.

Qualifications

• Master’s degree in Computer Science, Data Science, Computational Linguistics, or related field.
• Hands-on experience with LLM techniques for text representation and semantic data extraction.
• Knowledge of evaluation techniques and best practices.
• Proven experience with end-to-end software solutions and CI/CD pipelines.
• Proficiency in Python and pydantic validation.
• Experience building RAG systems, prompt engineering, and data processing.

Responsibilities

• Design, implement and deploy LLM-based solutions into production.
• Develop text representation and semantic extraction pipelines.
• Collaborate with product teams and domain experts to integrate LLM features into the SaaS platform.
• Support end-to-end ML solutions including data preparation, evaluation, deployment, and monitoring.

Skills

LLM techniques

Python

CI/CD pipelines

Prompt engineering

Data processing

Education

Master's degree in Computer Science, Data Science, Computational Linguistics

Tools

Terraform

Azure

Prometheus/Grafana/Elastic

Job description

AECOM in Oslo, Norway is seeking an AI Engineer to design, implement and deploy LLM-based solutions that improve infrastructure design and operation. You will work in an agile, high‑velocity team building scalable software with real‑world impact.

You will collaborate with product teams and domain experts to integrate LLM features into our SaaS platform, handle data preparation, evaluation, deployment and monitoring, and help advance CI/CD practices and observability.