AI Engineer

AECOM
Oslo
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Problem-solving","Collaboration","Ownership"]

Design, implement, and deploy LLM-based solutions into production as part of the Assurance & Insight team. Work end-to-end on ML systems—from data preparation and evaluation to deployment and monitoring—using approaches like agentic methods and context engineering. Build text representation and semantic extraction pipelines for structured knowledge from unstructured data, and collaborate with product teams to integrate LLM features into a SaaS platform that supports the construction industry.

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FursaFursa
AECOM
AECOM
3 days ago

AI Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Design, implement, and deploy LLM-based solutions into production as part of the Assurance & Insight team. Work end-to-end on ML systems—from data preparation and evaluation to deployment and monitoring—using approaches like agentic methods and context engineering. Build text representation and semantic extraction pipelines for structured knowledge from unstructured data, and collaborate with product teams to integrate LLM features into a SaaS platform that supports the construction industry.
Location: Oslo
Workplace: Onsite
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, implement, and deploy LLM-based solutions into production as part of the Assurance & Insight team.
  • •Use LLM approaches including agentic methods and context engineering to solve challenging problems.
  • •Work end-to-end on ML solutions: data preparation, evaluation, 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 a SaaS platform.

Key Requirements

  • •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 best practices and evaluation techniques for LLM solutions.
  • •Proven experience delivering end-to-end software solutions and CI/CD pipelines.
  • •Proficiency in Python and pydantic validation.
Experience:Construction industrySaaS
Education:Master's in Computer Science, Data Science, Computational Linguistics (or related field)
Skills:Problem-solvingCollaborationOwnership
Languages:English
Tech Stack:LLMRAGPrompt engineeringPythonPydanticCI/CDPrometheusGrafanaElastic stackTerraformAzureSaaS

Company Brief

AECOM
AECOM is a global infrastructure firm providing design, consulting, construction, and management services across transportation, buildings, water, environment, and energy sectors, delivering large-scale projects for public- and private-sector clients worldwide.
Industry: Civil Engineering
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Los Angeles, United States
Founded: 1990
Glassdoor
Glassdoor: 3.6
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