About Maisa
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
Coding skills with experience in Python and JavaScript/TypeScript
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
