About ESO 

 

ESO is a fast-paced, growing data, technology, and research company passionate about improving community health and safety through the power of data. We pioneer innovative, user-friendly software to meet the changing needs of today’s EMS agencies, fire departments, and hospitals. 

 

How You’ll Support Our Mission 

We are seeking an innovative and visionary Lead AI Engineer to join our team at the forefront of pre-hospital cloud software solutions for EMS agencies, Fire Departments, and Hospitals. In this critical role, you will lead the design and development of cutting-edge AI-driven technologies that transform how first responders and healthcare providers deliver lifesaving services. By leveraging advancements in Generative AI, machine learning, and predictive analytics, you will create solutions that enhance real-time decision-making, optimize operations, and improve patient outcomes. 

This is an extraordinary opportunity to shape the future of emergency response technology by exploring emerging AI capabilities and translating complex challenges into impactful, scalable solutions. With a focus on incubating technologies that drive both short-term efficiencies and long-term ROI, the Lead AI Engineer will play a pivotal role in ensuring our organization remains an industry leader while delivering meaningful value to our clients and the communities they serve. 

 
You will report to the Chief Innovation Officer. This position is based out of our Prague, Czech Republic.  

What You’ll Be Doing - The Day to Day 

Team Leadership: Lead and mentor a team of engineers, guiding their activities in developing, testing, and deploying AI solutions. Collaborate closely with product managers, engineers, and domain experts to ensure seamless integration, usability, and alignment with business goals, while fostering a culture of innovation and excellence within the AI team.  Research and Development: Lead the exploration and evaluation of emerging Generative AI and Machine Learning technologies, conducting experiments and proof-of-concept projects to assess their feasibility and potential for integration into pre-hospital software solutions.   Foster a Culture of AI Innovation: Empower cross-functional teams to leverage AI across a portfolio of SaaS products by driving strategic alignment, providing tools and frameworks, enabling experimentation, and advocating for AI literacy through education and collaboration. 

 

Who You Are - The Essentials  

 

Master’s or PhD in computer science, Artificial Intelligence, Machine Learning, Data Science, or a related field.   Proven experience in designing, developing, and deploying AI and machine learning solutions, with expertise in Generative AI models, deep learning frameworks, and data engineering pipelines.   Demonstrated ability to lead and mentor engineering teams, providing technical direction and fostering a collaborative, innovative work environment.  Strong communication, analytical and creative problem-solving skills.  Azure or AWS cloud experience. 

 

 

Who You Are - The Desirables (It’s a plus if you have):   

  

Hands-on experience fine-tuning large language models (LLMs) or other generative AI systems using domain-specific data to optimize performance for targeted applications, ensuring relevance, accuracy, and value in production environments.  Experience in developing AI solutions with a focus on ethical considerations, fairness, and minimizing bias, particularly in critical and high-stakes domains like healthcare.   A history of contributing to AI research or presenting at conferences.  

 

Benefits & Perks: 
 

Paid Vacation: 5 weeks of paid vacation to recharge and connect with family and friends.  Sick Time Conversion: Convert unused sick time into additional vacation days.  Meal Vouchers: Access to delicious meals and snacks during your workday.  Ergonomic Workspace: Electrically adjustable desks, comfortable chairs, laptop, phone, and internet.  Dynamic Team Environment: Experience the camaraderie and agility of an energetic and passionate team.  Hybrid Workforce: Flexible options to perform your role from our centrally located office, convenient to shopping and restaurants, or from home as needed.   Office Amenities: Convenient safe bike-parking and onsite shower facilities, catering to those who prefer sustainable commuting options.  Competitive Salary: along with a comprehensive benefits package.  Career Development & Training: Benefit from career development programs, mentorship opportunities, training sessions, and paths for advancement.  Inclusive Workplace: a diverse, equitable, and inclusive global workplace where all people feel supported, and creativity and new ideas are encouraged.  Employee Referral Bonus Program: Earn bonuses for referring talented individuals to join our team. 

 

 

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