Senior AI Engineer – GenAI, Agentic Systems

🕒 July 20

🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 27%

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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Provectus

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.

📋 Description

• Create ML models from scratch or improve existing models. • Collaborate with the engineering team, data scientists, and product managers on production models. • Develop experimentation roadmap. • Set up a reproducible experimentation environment and maintain experimentation pipelines. • Monitor and maintain ML models in production to ensure optimal performance. • Write clear and comprehensive documentation for ML models, processes, and pipelines. • Stay updated with the latest developments in ML and AI and propose innovative solutions.

🎯 Requirements

• Comfortable with standard ML algorithms and underlying math. • Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems • AWS Bedrock experience strongly preferred • Practical experience with solving classification and regression tasks in general, feature engineering. • Practical experience with ML models in production. • Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. • Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts). • Python expertise, Docker. • English level - strong upper- intermediate. • Excellent communication and problem-solving skills.