Senior AI Engineer

Job not on LinkedIn

🕒 July 29

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 17%

What it means: how likely this posting is sitting open without active hiring.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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DXS - Direct Expansion Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

📦 Logistics

🏭 Manufacturing

Healthcare • Logistics • Manufacturing

DXS - Direct Expansion Solutions is a company that specializes in Variable Refrigerant Volume/Flow (VRV/VRF) air-source heat pumps and complementary technology and controls designed to reduce building energy use and emissions. They provide comprehensive solutions including system design, supply, commissioning, and service with a focus on inverter-based heat pumps and ventilation and indoor air quality systems. With offices across the United States and Canada, DXS offers expert knowledge in the application of air-source heat pump technology in various markets such as healthcare, residential, government, and military, aiming to decrease operating expenses and emissions through strategic electrification. They serve a range of clients, including engineers, architects, building owners, and contractors.

📋 Description

• Design, develop, and optimize machine learning models, LLM-based features, and agentic workflows that enhance the core capabilities of our SaaS platform • Build and refine solutions using large language models, including prompt design, retrieval-augmented generation (RAG), tool-use/function calling, and multi-agent orchestration • Partner with data engineering teams to build robust data pipelines and infrastructure that support training, fine-tuning, and evaluation of AI models • Track developments in AI and machine learning, translating promising techniques into practical improvements for our platform • Contribute to the design of AI infrastructure, including model deployment, orchestration, monitoring, and continuous learning pipelines • Evaluate model and system performance using clear metrics, and continuously fine-tune for accuracy, latency, cost, and reliability • Help implement guardrails, evaluation frameworks, and monitoring to ensure AI features behave safely, predictably, and transparently in production • Work with senior engineers and product teams to translate business requirements into technical solutions, and mentor junior engineers and data scientists • Design systems that handle large datasets and integrate cleanly into DataXstream's existing architecture • Oversee production deployment of AI models and agents and continuously monitor performance to ensure they operate reliably under real-world conditions • Tackle complex AI challenges spanning natural language processing, recommendation systems, predictive analytics, and agentic automation

🎯 Requirements

• Bachelor’s degree in computer science, Data Science, Engineering, or a related field, or equivalent practical experience • 5+ years of experience building and deploying machine learning or AI systems in production • Strong programming skills in TypeScript/JavaScript, with the ability to build and integrate AI/ML functionality within a TypeScript-based product stack • Working knowledge of Python for ML workflows (model training, fine-tuning, and experimentation) • Hands-on experience working with large language models, including prompt engineering, RAG, or fine-tuning • Solid understanding of core machine learning concepts, model evaluation, and MLOps practices • Experience designing and maintaining data pipelines for model training and inference • Strong problem-solving skills and the ability to lead AI projects from concept through deployment • Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.

🏖️ Benefits

• Equal opportunity workplace • Affirmative action employer • Commitment to equal employment opportunities