AI Engineer

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🔥 0 minutes ago

🇪🇺 Europe – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

👻 Ghost score 20%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Field Materials

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🏗️ Construction

🤖 Artificial Intelligence

☁️ SaaS

💰 $3.5M Seed Round on 2024-06

Construction • Artificial Intelligence • SaaS

Field Materials is a leading AI platform that automates procurement processes for materials and equipment in the construction industry. By streamlining quotes, purchase orders, and invoice processing, Field Materials helps contractors save time and reduce costs, significantly improving efficiency across various construction operations. With features like real-time synchronization with accounting software and automated validation, the platform aims to transform how construction professionals manage their procurement tasks.

📋 Description

• Develop AI-native construction procurement software • Own models, data pipelines, evaluation suites, and AI product features • Design, evaluate, and integrate AI models and data pipelines • Work on document data extraction problems • Build AI-enabled features that automate tedious workflows with high financial impact • Work with SQL databases and complex data models • Develop integrations with construction ERP systems using REST APIs, ODBC, COM, and other technologies • Contribute to systems using Go, GraphQL, Postgres, AWS, and related technologies • Iterate on products and specifications based on customer feedback • Apply well-architected, refactorable, and evolvable code and system design

🎯 Requirements

• BS (or higher) in Mathematics, Computer Science, or related technical field • 2-5+ years of production level experience in Backend Engineering or AI Engineering • Experience in designing, evaluating and integrating AI models and data pipelines • Experience with document data extraction problems • Experience working with SQL databases and complex data models • Strong foundation in algorithms and data structures and their real-world use cases • Proficiency with Golang is a nice-to-have

🏖️ Benefits

• Flexible time off • Equity awards • Gym reimbursement • Personal development fund for books, courses, certifications and conferences • Swanky new MacBook Pro • Work headphones reimbursement • Annual offsites at fun locations across Europe

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