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For Companies At a Glance
- Tasks: Design and implement AI workflows to solve enterprise challenges using cutting-edge technology.
- Company: Maisa is revolutionising enterprise AI with reliable Digital Workers for automating knowledge work.
- Benefits: Enjoy a fully remote role, competitive pay, and a flat organisation focused on impact.
- Why this job: Join a dynamic team shaping the future of accountable AI in a fast-paced startup environment.
- Qualifications: 4+ years in AI roles, strong coding skills, and experience with LLMs and enterprise automation.
- Other info: Engage with the AI research community and continuously learn in a rapidly evolving field.
The predicted salary is between 43200 - 72000 £ per year.
AI Research and Development · Multiple locations · Fully Remote
Applied AI Engineer (Europe/ CET Remote)
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
About Maisa
Maisa AI is an innovative Agentic Process Automation (APA) Platform that enables enterprises to create and deploy bulletproof AI Agents (\”Digital Workers\”) for automating knowledge-intensive processes. Our flagship product, Maisa Studio, streamlines the creation, deployment, and continuous improvement of AI Agents while maintaining full auditability and explainability through our unique \”Chain of Work\” approach.
We\’re building the future of enterprise automation with a platform that combines deterministic, code-based steps with AI reasoning, providing unprecedented transparency and reliability for mission-critical business processes.
AI Research and Development · Multiple locations · Fully Remote
Applied AI Engineer (Europe/ CET Remote)
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Applied AI Engineer (Europe/ CET Remote) employer: C2i Genomics
Contact Detail:
C2i Genomics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Engineer (Europe/ CET Remote)
✨Tip Number 1
Familiarise yourself with the latest advancements in AI, particularly in LLMs and agentic AI frameworks. Engaging with recent research papers or attending webinars can give you insights that will impress during discussions.
✨Tip Number 2
Showcase your hands-on experience by working on personal projects or contributing to open-source AI initiatives. This not only demonstrates your coding skills but also your passion for building reliable AI systems.
✨Tip Number 3
Network with professionals in the AI field through platforms like LinkedIn or relevant online communities. Engaging with others can lead to valuable connections and insights about the company culture at Maisa.
✨Tip Number 4
Prepare to discuss how you've tackled challenges in enterprise automation in your previous roles. Being able to articulate your problem-solving approach will resonate well with the team at Maisa.
We think you need these skills to ace Applied AI Engineer (Europe/ CET Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI-focused roles, particularly any work with LLMs, RAGs, and enterprise automation. Use specific examples to demonstrate your skills and achievements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for building reliable AI systems and your understanding of the challenges in enterprise automation. Mention how your background aligns with Maisa's mission and the role's responsibilities.
Showcase Technical Skills: Clearly outline your coding skills, especially in Python and JavaScript/TypeScript. Provide examples of projects where you've built and shipped AI-powered features, and discuss your familiarity with evaluation methodologies for AI systems.
Demonstrate Problem-Solving Abilities: Highlight instances where you've collaborated with customers to understand their needs and iterated on solutions. This will showcase your ability to thrive in a fast-paced environment and your self-starter mentality.
How to prepare for a job interview at C2i Genomics
✨Showcase Your AI Knowledge
Make sure to highlight your understanding of LLMs, RAGs, and their applications in enterprise settings. Be prepared to discuss specific projects where you've implemented these technologies and the challenges you faced.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Focus on your approach to designing and optimising AI workflows, and be ready to explain your thought process clearly.
✨Emphasise Collaboration Experience
Since the role involves working closely with customers and cross-functional teams, share experiences that showcase your ability to collaborate effectively. Discuss how you’ve gathered requirements and iterated on solutions based on feedback.
✨Be Ready for Technical Questions
Expect technical questions related to AI evaluation methodologies and coding skills in Python or JavaScript/TypeScript. Brush up on your coding knowledge and be prepared to solve problems on the spot.
