AI Engineer

🚀 About Myriad We are building a reliable and scalable AI-powered platform that allows financial institutions to put regulatory compliance on autopilot. At its core, Myriad is an engineering-driven company, founded by individuals with robust technical backgrounds, forged in Silicon Valley and molded by necessity. Our team Myriad's software engineers are at the forefront of developing next-generation technologies that revolutionize the way enterprises manage their compliance. We employ individuals with a diverse range of technical abilities who are eager to address some of the most challenging issues in technology and create a significant impact on users worldwide. We are backed by top US and EU venture capital with several years of runway Compliance isn’t just about regulations and checkboxes—it’s the foundation of trust, stability, and ethical progress in our global economy. It safeguards financial systems from fraud, protects consumers from exploitation, and ensures businesses operate with integrity. In fintech, compliance is a catalyst for innovation. It enables secure digital transactions, prevents money laundering, and fosters financial inclusion by ensuring that emerging technologies remain safe and accountable. From AI-driven risk monitoring to real-time fraud detection, compliance empowers businesses to scale responsibly while protecting society from financial crime. At its core, compliance is about fairness, security, and trust—paving the way for a more transparent and ethical financial future. It’s not just a regulatory requirement; it’s a force for good, shaping a world where businesses thrive while protecting people and institutions alike. Ralf and Jan, Myriad AI founders 🤗 What we offer One of the first engineers in our US office You can be a part of the core team of a recently minted VC-backed startup Steep career growth opportunities through continuous growth and our Silicon Valley pedigree Technical Founders (experience from Google, Amazon, BMW, Airbnb, Dropbox, NVIDIA) Competitive salary and benefits, stock options Prague and San Francisco offices, we are a multi-homed company with a hybrid approach to work Paid Time Off (Vacation, Sick & Public Holidays) Company-sponsored Insurance Flat hierarchies and open feedback culture Work From Home & Remote Work policy Myriad AI team in Prague 🎉 About You You contribute fresh perspectives in a variety of domains, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, and natural language processing You know how to design, develop testing, deploy, maintain, and enhance software solutions You are comfortable managing project priorities, deadlines, and deliverables, and demonstrate leadership capabilities You are eager to address some of the most challenging issues in technology and create a significant impact on users worldwide You love being mission driven and want to join an early stage startup Most of all, you're looking for a role where you can move fast, think big, and leave your mark on the future of financial compliance. We’re looking for people who want to be part of the era of AI—people excited to shape how intelligent systems and human judgment come together to set new standards in compliance. Be at it when it starts 👨🔬 About the role As the Senior/Staff AI Engineer, you will play a pivotal role in shaping the AI strategy and architecture of our cutting-edge fintech compliance platform. You’ll lead the development of AI-driven solutions that enhance regulatory compliance, risk assessment, and fraud detection for financial institutions. In this role, you’ll design and deploy scalable machine learning models, oversee model governance and explainability, and work closely with cross-functional teams to integrate AI seamlessly into our platform. You’ll also set technical direction, mentor a growing AI team, and ensure our AI solutions meet the highest industry standards for accuracy, fairness, and compliance. This is an opportunity to lead AI innovation in compliance, solving complex challenges with cutting‑edge techniques in NLP, anomaly detection, and automated reporting. If you're passionate about AI’s role in transforming financial security and compliance, we’d love to hear from you 👨🔬 In this role you will Define AI Strategy & Development – Define and drive the AI roadmap for our compliance platform. Ensure Model Explainability & Compliance – Develop transparent and interpretable AI solutions that meet regulatory standards. Collaborate Cross-Functionally – Work with engineers, data scientists, and compliance experts to integrate AI into the platform. Optimize AI Performance – Improve model accuracy, efficiency, and scalability in a high-stakes financial environment. Stay Ahead of AI Trends – Research and implement the latest advancements in AI, NLP, and anomaly detection. Mentor & Guide the Team – Lead and mentor a growing AI team, fostering a culture of innovation and excellence. Drive AI Governance & Ethics – Establish best practices for bias mitigation, model validation, and responsible AI use. 📖 Minimum qualifications Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with data structures or algorithms in either an academic or industry setting. 2 years of experience with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning or natural language processing. 📖 Preferred qualifications Master's degree or PhD in Computer Science or related technical field. 3 years of experience with performance, large scale systems data analysis, visualization tools, and/or debugging 3 years of experience with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning or natural language processing. Proficiency in code and system health, diagnosis and resolution, and software test engineering. 2 years of experience with LLMs and training. Note: previous work references might be required. #J-18808-Ljbffr