<div><span><b>About Aqemia</b></span></div><div><br /></div><div><span>Aqemia is a next-generation pharmatech reinventing drug discovery with quantum-inspired physics and generative AI.</span></div><div><span>Our mission: design innovative small-molecule drug candidates for dozens of critical diseases, faster and smarter, without relying on experimental data.</span></div><div><span>Unlike traditional approaches, Aqemia starts drug discovery purely in silico. By combining physics-based models with large language models trained on proprietary data, we identify promising molecules with high accuracy before synthesis.</span></div><div><span>We’ve already delivered multiple preclinical successes and secured strategic partnership. Our internal pipeline is growing fast, with several programs in in vivo optimization.</span></div><div><span>We’re a team of 65+ based in Paris and London, we bring together chemists, physicists, engineers, and machine learning experts to push the boundaries of what’s possible in early-stage drug discovery.</span></div><div><br /></div><div><b>The Role</b></div><div><br /></div><div><span>As a Senior Software Engineer in the team building our product, you will support the daily activities of scientists (physics, ML, deep learning) who produce predictors and prediction flows.</span></div><div><br /></div><div><span>You’ll build the engine that enables large-scale computing and seamless data transformation.</span></div><div><br /></div><div><span>Working closely with scientists and engineers, you’ll bring automation, scalability, and reliability to one of the most critical layers of our platform, where predictions turn into decisions.</span></div><div><br /></div><div><span>This role combines backend development, system design, and scientific tooling in a fast-paced and collaborative environment.</span></div><h3>What you’ll do</h3><ul><li>Build and scale the engine powering data management and scientific computation</li><li>Design modular, maintainable, and scalable components in Python using best software engineering practices</li><li>Ensure robustness, observability, and performance of the system</li><li>Collaborate with ML scientists and chemoinformaticians to integrate scientific logic into production-grade software</li><li>Contribute to code reviews, testing, and documentation to maintain high engineering standards</li><li>Take part in architectural discussions and drive continuous platform improvements</li><li>Ensure the product is stable and operational, including supporting production environments</li></ul><h3>What we’re looking for</h3><ul><li>6+ years of experience in backend or scientific software development</li><li>Strong Python programming skills</li><li>Solid understanding of system design, API development, and scalable infrastructure</li><li>Experience with ML or scientific computing pipelines is a plus</li><li>Strong sense of ownership, attention to detail, and ability to collaborate across functions</li><li>Comfortable in a fast-paced, team-oriented environment</li></ul><h3>Preferred mindset</h3><ul><li>You enjoy building robust systems that power real scientific impact</li><li>You balance pragmatism and technical rigor to deliver high-quality results quickly</li><li>You thrive working closely with scientists and turning abstract ideas into real features</li><li>You care about writing clean, maintainable code others can build on</li></ul><div><span><b>Why Join Us</b></span></div><div><br /></div><div><span>At Aqemia, engineers don’t just build software, they help discover real <a href="http://drugs.You">drugs.You</a>’ll work at the intersection of AI, physics and chemistry, transforming bold scientific ideas into robust, production-grade tools that accelerate discovery.</span></div><div><br /></div><div><b><span>DeepTech Mission :</span></b><span> Build the platform that powers AI-driven drug discovery, combining quantum-inspired physics with generative models</span></div><div><b><span>Real-World Impact</span></b><span> : Every feature shipped helps scientists prioritize molecules and design better candidates, faster</span></div><div><b><span>Modern Stack &amp; Challenges</span></b><span> : Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale</span></div><div><b><span>High Ownership, High Impact</span></b><span> : Engineers contribute to architecture, tooling, and scientific decision-making</span></div><div><b><span>Interdisciplinary Team</span></b><span> : Collaborate with chemists, physicists, ML researchers, and product teams</span></div><div><b><span>Prime Locations</span></b><span> : Central Paris or London offices, with 2 remote days/week</span></div><div><b><span>Strategic Traction</span></b><span> :  Backed by $100M in funding and a $140M partnership with Sanofi</span></div><div><br /></div><div><span>Join us if you’re excited to shape the future of AI-driven drug discovery, and want your code to change the course of real diseases.</span></div>

AQEMIA

Senior Software Engineer

AQEMIA

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