Applied Ai Engineer

buscojobs España; Madrid; Híbrido; EUR 50.000 - 75.000; Jornada completa

Descripción de la vacante

Join a leading AI R&D team as an Applied AI Engineer. You'll design intelligent workflows, collaborate with businesses, and innovate using cutting-edge KPU technology to enhance enterprise AI agents. This is a hands-on role in a flat organization focused on real impact.

Servicios

Competitive compensation package

Flexible location

Direct exposure to enterprise challenges

Formación

• 4+ years of engineering experience in AI-focused roles.
• Strong knowledge of LLMs and semantic AI.
• Proven ability to translate technical concepts into practical applications.

Responsabilidades

• Design and implement e2e AI agent workflows.
• Build frameworks for measuring agent performance.
• Collaborate with customers to iterate solutions.

Conocimientos

Experience with LLMs

AI systems evaluation methodologies

Enterprise automation knowledge

Prompt engineering

Descripción del empleo

maisa AI enables enterprises to confidently delegate mission-critical tasks to Digital Workers and AI Agents. Our unique computational approach combines AI intelligence with proven Chain-of-Work execution, while continuously capturing and transforming enterprise know-how into reusable knowledge. This allows enterprises to deploy AI agents that grow smarter through feedback and real-world usage, maintaining full traceability and accountability. As the evolution of RPA, our platform sets new standards for reliable and accountable enterprise agentic process automation leveraging AI.

The Role

We're seeking a forward-thinking Applied AI Engineer to join our AI R&D team in building the future of accountable AI agents. In this role, you'll work directly with our KPU technology to create, optimize, and evaluate agentic workflows that solve real enterprise problems.

You'll have the opportunity to push the boundaries of what's possible with AI agents while ensuring they meet the high standards of reliability and accountability required for enterprise deployment. This is a hands-on builder role within our flat, founder-mode organization where impact matters more than status.

Key Responsibilities

Design and implement e2e AI agent workflows that leverage our KPU technology to solve complex enterprise problems

Build and maintain robust evaluation frameworks for measuring agent performance and reliability

Optimize agent workflows for performance, accuracy, and explainability

Collaborate directly with customers to understand their needs and rapidly iterate on solutions

Stay at the forefront of AI agent development (especially LLMs, Agents and RAGs), continuously applying new techniques to improve our platform

Contribute to the technical evolution of our Virtual Context Window and execution capabilities

Develop innovative approaches to enhance our chain of work traceability and explainability

Work cross-functionally with other technical experts to advance our platform capabilities

Required Qualifications

4+ years of engineering experience in AI-focused roles at technology companies

Experience building and shipping AI-powered features to production environments

Strong knowledge, understanding and experience of LLMs, RAGs, Advanced RAGs, semantic AI, their capabilities, and limitations

Familiarity with the challenges of enterprise automation and knowledge work

Experience with evaluation methodologies for AI systems

Proven ability to translate complex technical concepts into practical applications

Ability to thrive in a fast-paced, ambiguous startup environment

Desired Qualities

Self-starter mentality with strong individual contributor mindset

Passion for building AI systems that are reliable, transparent, and trustworthy

Experience with agentic AI frameworks, LLM orchestration, or AI planning systems

Understanding of enterprise workflows and business processes

Hands-on experience with prompt engineering and LLM fine-tuning

Background in software development for enterprise applications

Comfort with flat organizations and direct impact over management layers

Active engagement with the AI research community and emerging techniques

Fast learner who actively uses AI tools to enhance your own capabilities

What We Offer

Opportunity to shape the future of accountable enterprise AI agents in a rapidly evolving space

Work with cutting-edge KPU technology that addresses the fundamental challenges of AI reliability

Flat organization focused on impact rather than hierarchy

Flexible location (ideally Valencia, but open to remote)

Competitive compensation package

Dynamic, experienced team of technical experts

Direct exposure to enterprise customers and their real-world challenges

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