Machine Learning Engineer - LLM

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April 7

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TRACTIAN

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Enterprise • Industrial • Energy

TRACTIAN is a company specializing in Asset Performance Management, providing industry-leading solutions to ensure zero downtime for manufacturing plants. With products like Smart Trac Condition Monitoring & Auto Diagnosis and TracOS™ Maintenance Management Software, TRACTIAN enables plant managers to predict failures, avoid downtime, and manage assets efficiently. Their solutions also focus on energy efficiency, transforming energy consumption data into profit. TRACTIAN collaborates with industries such as automotive, mining, oil and gas, and pharmaceuticals, offering advanced insights and AI-powered diagnostics to enhance machine reliability and operational efficiency.

51 - 200 employees

🏢 Enterprise

⚡ Energy

📋 Description

• Data Science at TRACTIAN • The Data Science team at TRACTIAN focuses on extracting valuable insights from vast amounts of industrial data. Using advanced statistical methods, algorithms, and data visualization techniques, this team transforms raw data into actionable intelligence that drives decision-making across engineering, product development, and operational strategies. The team constantly works on optimizing prediction models, identifying trends, and providing data-driven solutions that directly enhance the company’s operational efficiency and the quality of its products. • What you'll do • We're seeking an experienced LLM Applications Engineer to design, develop, and deploy production-ready applications that harness the capabilities of large language models. In this role, you'll create robust APIs, implement intelligent information retrieval systems, and build resilient infrastructure that connects AI capabilities with real-world industrial applications.

🎯 Requirements

• 1-4 years of experience in software engineering with a focus on backend development • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or equivalent technical field • Demonstrated experience building applications that utilize large language models • Strong proficiency in Python and experience with web frameworks like FastAPI, Flask, or Django • Experience designing, building, and maintaining production REST APIs • Working knowledge of relational databases and SQL • Familiarity with LLM orchestration tools such as LangChain or LangGraph • Experience with vector embeddings and information retrieval systems • History of shipping code to production environments