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Engineering

Senior Agentic AI Engineer

Freelance
 -
Feb 04, 2026
 -
Spain (Remote)
Role Details

About Hybrid Mind

Hybrid Mind builds advanced AI systems for organisations operating at the edge of complexity.

We specialise in designing and delivering production-grade AI platforms across life sciences and healthcare, focusing on real-world impact rather than theoretical experimentation.

Our work spans agentic AI, machine learning, data engineering, and platform architecture, with a single objective: build systems that materially change how organisations operate.

About Our Team

We operate in small, senior, cross-functional teams made up of engineers, data scientists, and domain specialists.

We value people who take ownership, think system-wide, and are comfortable operating in ambiguous, highly technical environments.

If you need hand-holding, this will be painful.
If you enjoy solving hard problems with other serious engineers, you will fit in.

The Role

We are seeking an Agentic AI Engineer to lead the hands-on implementation of a production-grade multi-agent system within a large-scale pharmaceutical AI programme.

You will take defined architecture and proof-of-concept code and turn it into a scalable, modular, and operational agentic platform.

You will design how agents cooperate, communicate, and adapt over time, working beyond simple LLM wrappers and into genuinely intelligent multi-agent ecosystems.

Location

Spain (Remote)

Occasional on-site collaboration may be required.

Minimum Requirements

  • Strong software engineering background with deep hands-on Python development experience
  • Demonstrated, real-world experience building and scaling agentic or multi-agent systems
  • Understanding of different agent types and cooperation strategies, including reinforcement learning, supervised learning, and hybrid approaches
  • Experience translating architecture and POCs into production-grade systems
  • Familiarity with cloud-native development, particularly AWS
  • Ability to design how agents interact with complex AI models, including mechanistic and machine learning systems
  • Experience working with frameworks or libraries that support agent orchestration and agentic workflows
  • Comfortable working autonomously with minimal oversight
  • Strong collaboration skills within interdisciplinary, non-siloed teams
  • Confidence contributing to architectural decisions and leading through implementation
  • If you have already built real agentic systems and want to push multi-agent AI into genuine production at scale, this role is for you.

    Apply with your CV and a brief summary of your relevant experience.
    If you are strong, you will hear back.

    Apply Now
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