Senior / Lead AI Research Engineer (Agents Team)

Aily Labs; Madrid; Híbrido; EUR 90.000 - 135.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fast growth path

Hybrid working model

Global company and culture

Descripción de la vacante

Aily Labs seeks exceptionally smart AI Research Engineers to join a small, highly technical team working on cutting-edge AI research with direct impact on the product. The role emphasizes LLMs, Agentic AI, and advanced ML systems, with opportunities to publish in top conferences.

You will design experiments, fine-tune state-of-the-art models, and translate findings into deployable product enhancements, while mentoring peers and contributing to a rigorous research culture.

Formación

• Master's degree in a technical field such as Mathematics, Physics, Engineering, CS, or equivalent.
• Ph.D. in a relevant field is a strong plus.
• Proven background in ML/AI research and papers is desirable.

Responsabilidades

• Design, set up, and execute experiments focusing on LLMs, Agentic AI, model fine-tuning, and ML systems.
• Manage reproducible research pipelines and version control for code/data.
• Bridge research findings to product teams and provide actionable directions.

Conocimientos

Python

SQL

Language Models

Agentic AI

Machine Learning fundamentals

MLOps

Docker

Production deployment

Educación

Master's degree

Ph.D. in a relevant technical field (strong plus)

Herramientas

Docker

Containers

Knowledge Graphs

Descripción del empleo

• We are looking for exceptionally smart and driven AI Research Engineers to join a small, highly technical, and specialized research team at Aily
• This team operates at the bleeding edge of AI, focusing on high-impact, moderately higher-risk projects that directly influence our end product. While your day-to-day work will heavily involve Language Models and Agentic AI, we expect you to be deeply versed in all of Machine Learning
• You will have the runway to dive deep into model architectures, debug complex algorithmic behaviors, fine-tune state-of-the-art models, and translate your findings into deployable product enhancements
• While our ultimate goal is delivering business value, we maintain a strong culture of scientific rigor. If an experiment yields novel, high-quality results, you will have the opportunity and support to publish your findings in top-tier AI conferences (e.g., NeurIPS, ICLR, ACL)
• Experiment & Build: Design, set up, and execute experiments focusing on LLMs, Agentic AI, model fine-tuning, and broader ML systems. Manage reproducible research pipelines, version code, and data, and select the right frameworks for prototyping
• Algorithmic Debugging: Actively investigate why a model isn’t converging, why outputs are inconsistent, or why results are unreliable across different ML architectures
• Code Quality: Write clean, modular code (effective use of classes, functions, and documentation) following strict software engineering best practices
• Autonomous Delivery: Deliver projects with a high degree of autonomy. Present results clearly, explain the AI behind your findings, and align experiments with team priorities
• End-to-End Ownership & Strategy: Deliver clean, extendable research pipelines end-to-end. Set and drive the overall research strategy based on expected business leverage, identifying domain-wide opportunities
• Bridge Research & Product: Translate experimental findings and research breakthroughs into clear, actionable, and deployable directions for the Data Science, MLE, and Product teams
• Mentorship & Leadership: Supervise and mentor team members, delegate tasks effectively, and drive the adoption of impactful research innovations across broader engineering teams
• Advanced Systems & MLOps: Utilize advanced knowledge of MLOps to define and develop robust E2E code pipelines for cutting-edge models
• External Presence: Act as a representative of Aily’s research efforts, build university relationships, and spearhead efforts to publish papers at top conferences

Benefits

• Fast growth path
• Hybrid working model
• Global company and culture

The Mindset (Autonomous & Sharp): You are exceptionally smart, highly autonomous, and thrive in ambiguity. You don’t just wait for instructions; you proactively identify problems and rigorously test solutions. You keep up to date with the latest SOTA technology and research breakthroughsThe Academic Background: A Master’s degree (required) in a highly technical and quantitative field such as Mathematics, Physics, Engineering, Computer Science, or a rigorous double degreeThe Communicator: You can present complex research results clearly to both highly technical peers and non-technical business stakeholdersApplicants must already have the legal right to work in SpainMLOps: You are not just a researcher; you are highly capable of deploying solutions into production environments using tools like Docker and other containerization technologiesThe Foundations (All of ML): You have zero gaps in your machine learning fundamentals. While you will work extensively with LLMs, you have a deep, mathematical intuition for classical ML, deep learning, and how models learn (and fail) across the boardThe Tech Stack & Tools: You have extensive, highly proficient experience with Python and SQL. You possess a strong track record working with Language Models, Agentic AI workflows, and deep expertise in model fine-tuning (experience with Knowledge Graphs is a plus)A Ph.D. in a relevant technical field is a strong plusPublication record at top-tier AI/ML conferences/journalsPrevious experience in academic or industrial AI research labs