About Maisa

At Maisa, we're solving enterprise AI's biggest challenge: trust. We've created the first platform that enables enterprises to build reliable Digital Workers for automating knowledge work without production failures or traditional automation limitations.
We're pioneering Agentic Process Automation for regulated industries. From banking to healthcare, our Digital Workers deliver verified, traceable results that meet the strictest compliance requirements.
Join us in transforming how enterprises work by making AI accountable for mission critical processes, turning Digital Workers into trusted team members, and empowering the people who know the work to finally automate it.

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
• Competitive compensation package
• Flat organization focused on impact rather than hierarchy
• Work with cutting-edge computational AI technology
• Dynamic, experienced team of technical experts
• Continuous learning in the rapidly evolving field of Agentic AI

Department

AI Research and Development

Locations

Multiple locations

Remote status

Fully Remote

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