TL;DR
Senior AI Research Engineer (AI): Developing and fine-tuning advanced AI models including Language Models and Agentic AI for a B2B SaaS decision intelligence platform with an accent on model architectures, algorithmic debugging, and research-to-product translation. Focus on designing reproducible research pipelines, deploying ML solutions, and publishing novel AI research.
Location: Madrid or Barcelona, Spain (Hybrid, 2 days per week onsite)
Company
hirify.global is a B2B SaaS company building an AI-powered decision intelligence app for enterprises, combining advanced machine learning, large language models, and agentic AI to deliver actionable business insights.
What you will do
- Design, execute, and manage experiments on LLMs, Agentic AI, and ML systems with reproducible pipelines.
- Debug complex algorithmic behaviors and ensure code quality with best software engineering practices.
- Deliver projects autonomously and present research findings clearly to technical and business teams.
- For senior level: Own end-to-end research strategy, bridge research with product teams, mentor others, and develop advanced MLOps pipelines.
- Represent research efforts externally and contribute to top-tier AI conference publications.
Requirements
- Must have legal right to work in Spain.
- Master's degree in a technical quantitative field (Mathematics, Physics, Engineering, Computer Science).
- Strong fundamentals in machine learning, deep learning, and experience with LLMs and Agentic AI.
- Proficiency in Python, SQL, and MLOps tools like Docker.
- Highly autonomous, proactive, and able to communicate complex research to diverse audiences.
Nice to have
- Ph.D. in relevant technical field.
- Experience in academic or industrial AI research labs.
- Publication record at top AI/ML conferences or journals.
Culture & Benefits
- Hybrid work policy with 2 days per week onsite in Madrid or Barcelona.
- Global team with strong scientific rigor and support for publishing research.
- Opportunity to work on cutting-edge AI projects impacting business decision-making.
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