Applied AI Engineer Europe

About the Role

Day-to-day responsibilities will include designing, implementing, and optimizing AI agent configurations to tackle complex clinical workflows and patient engagement challenges. This involves building context graphs, operational patient domains, and designing bounded systems that ensure reliable and efficient decision-making processes. The role also entails working closely with domain experts to capture clinical protocols and reasoning patterns, which are then used to inform and improve AI agent performance.

As part of the Amigo team, Applied AI Engineers are not confined to a single path. The role is structured to facilitate exploration into four distinct career paths within 6-12 months: deeper specialization in Applied AI, transition into Product Management, Sales Engineering, or Software Engineering. This flexibility is a hallmark of Amigo's commitment to employee growth and development, recognizing that career aspirations can evolve over time.

What You Will Do

• Implement context graphs to enable AI agents to select the appropriate reasoning mode based on problem complexity.
• Build and optimize agent configurations, including static personas, dynamic behaviors, and functional memory systems.
• Design bounded Operational Patient Domains (OPDs) with explicit inclusions, exclusions, capabilities, and escalation rules.
• Implement verification loops and simulation-based testing to validate agent performance against customer KPIs.
• Write Python code for tool integrations and API orchestration within customer environments.
• Build evaluation suites that gate deployments using customer-specific success metrics.
• Collaborate with domain experts through structured interviews to capture reasoning patterns and clinical protocols.
• Support technical power users through git-based workflows for rapid iteration.
• Implement adversarial testing to systematically identify and prevent failure modes.
• Ensure agents maintain audit-ready provenance with version pinning and evidence links.
• Contribute to systematizing implementation patterns across different problem domains.

What We Are Looking For

• 2+ years of production software engineering experience.
• Strong Python skills, including proper use of typing, and experience building highly reliable systems that interact with external APIs.
• Experience with Large Language Models (LLMs), prompt engineering, and building on AI platforms.
• Ability to implement systems with strict reliability requirements.
• Understanding of testing and verification methodologies.
• Experience working directly with customers or stakeholders to deliver technical solutions.
• Familiarity with git workflows and collaborative development.
• Strong debugging and problem-solving skills for complex systems.
• Ability to balance theoretical concepts with practical implementation constraints.
• Clear technical communication for both engineering and non-technical audiences.

Nice to Have

• Experience in regulated industries, such as healthcare, finance, or legal.
• Background with simulation, synthetic data, or evaluation frameworks.
• Understanding of distributed systems and service-oriented architectures.

Benefits and Perks

• Opportunity to work on cutting-edge AI technology that impacts healthcare outcomes.
• Professional development opportunities, including mentorship and training.
• Flexible work arrangements, including remote work options.
• Access to the latest tools and technologies in AI development.
• Collaborative and dynamic work environment with a team of experts in AI and healthcare.
• Competitive compensation package, including equity options.
• Comprehensive health insurance and wellness programs.
• Generous PTO policy and paid holidays.

• Highlight Your Python Skills: Ensure your resume and cover letter emphasize your Python proficiency, especially in areas relevant to the role, such as API interactions and reliability engineering.
• Prepare to Talk About AI Applications: Be ready to discuss your experience with LLMs, prompt engineering, and your understanding of how AI can be applied to solve complex healthcare problems.
• Showcase Collaboration Skills: Provide examples of successful collaborations with domain experts or customers, highlighting your ability to communicate complex ideas and integrate feedback.
• Understand Amigo’s Products and Mission: Familiarize yourself with Amigo’s current projects and mission to demonstrate your interest and potential fit within the company.
• Develop a Personal Project or Contribution: Having a personal project or contribution to open-source AI projects can significantly enhance your application, demonstrating your passion and capabilities beyond your professional experience.
• Be Prepared for Technical Questions: Review common data structures, algorithms, and software design patterns, as these are frequently discussed in technical interviews for AI engineering roles.
• Discuss Your Career Aspirations: Be open about your career goals and how you see the Applied AI Engineer role fitting into your long-term plans, including your interest in the potential career paths provided by Amigo.