Role Description - Build internal tools and workflow automation to accelerate product development - Develop and maintain APIs and data pipelines - Work hands-on with AI coding tools (Claude Code, Cursor, etc.) to ship features fast - Own projects end-to-end in a scrappy startup environment Qualifications - Comfortable with backend development (APIs, databases, basic infra) - Familiar with AI-assisted coding tools and can evaluate whether generated code is actually good - Scrappy and self-directed – you figure things out and ship Benefits - Real ownership at a seed-stage startup solving a meaningful health problem - Work directly with the founding team - Build things that matter, fast

About us Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI copilot and its new LLM fine-tuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster. Please submit your CV in English This position is remote and based in the UK or Germany. About the role: As a Senior AI Software Engineer, you will build the world leading Agentic AI product for biomedical researchers by combining robust engineering practices with cutting-edge AI technologies. You'll be working on a real-time system that integrates LLMs, tool-calling, and interactive UI elements, making sure our users can seamlessly engage with complex domain specific data. This role requires balancing traditional engineering principles with innovative approaches when integrating LLMs and AI throughout our technology stack. If you love building and refining a dynamic product, this role is for you. Your seniority and experience will be crucial in guiding the multidisciplinary team to make strategic decisions and empowering team members. In particular, you will: - Collaborate within a multi-disciplinary team of product managers, designers, software engineers, machine learning and biomedical scientists. - Design, build, and maintain scalable, reliable AI systems. - Drive technical decisions and provide context-aware solutions for AI systems in biological research. - Leverage and pioneer evaluation methodologies to ensure continuous product improvement. - Experiment with cutting-edge industry solutions—orchestration patterns, fine-tuning, specialized monitoring, feedback loops, etc. - Lead core stack component development focusing on sustainability, scalability, security, reliability, and performance. - Foster team growth by sharing expertise and mentoring colleagues through code reviews, technical discussions, and knowledge sharing. About you - You’re driven by impact — excited to empower biomedical researchers with intuitive, AI-driven tools that unlock scientific discovery. - Strong collaborative skills with an open, pragmatic mindset; you thrive in multidisciplinary environments that involve people with diverse backgrounds. - Clear and effective communicator who can translate technical complexity into actionable decisions for the team. - Proven track record leading software development at scale in production environments. - Deep understanding of system architecture, infrastructure design, and building resilient distributed systems. - Extensive experience with production environments: continuous deployment, high availability, observability, and security. - Curiosity and ideally hands-on experience with AI systems — from integrating LLMs to evaluating their performance in real-world workflows. - Passion for user experience and product thinking: you consider not only the system’s internals but how the end user interacts with and benefits from your work. - Fluent English, both written and spoken. - Stack: Python, Kubernetes, AWS #LI-MD1 What we offer - Flexible work organization - Friendly and informal working environment - Opportunity to work with an international team with high technical and scientific backgrounds Recruitment Process & Security - Please complete the form and submit your CV. - Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability. - Owkin is a great place to work. As a coveted workplace we are, unfortunately, vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information: - Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn. - Communication is always through an official Owkin email address (from the @owkin.com domain), over the phone or through our applicant tracking system (Greenhouse). - The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @Owkin.com. - The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information; - Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). They will not occur via Signal, Telegram or Messenger - Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format. If you think that you have been a victim of fraud, - Check the identity of the talent team on LinkedIn - Check our senior team on our website https://owkin.com/team/ - Check the existence of the position on our website: https://www.owkin.com/careers#current-opportunities - Notify Owkin's recruitment unit at this address hiring@owkin.com - contact the following authorities: - [FR] https://internet-signalement.gouv.fr/ - [UK] https://www.actionfraud.police.uk/reporting-fraud-and-cyber-crime - [US] https://reportfraud.ftc.gov/

We are looking for a Senior Backend Engineer to be part of the team, focusing on the design, development, and maintenance of robust, scalable server-side applications and APIs. This role requires strong skills in Python web frameworks, database management, and a foundational understanding of integrating AI capabilities. The engineer will ensure high performance and reliability of all backend services. Technical Requirements - Strong experience and expertise in Python development. - Proven experience with the FastAPI framework. - Advanced proficiency in SQL for data manipulation and relational database management. - Experience leveraging AI agents into the development lifecycle. - Strong experience consuming AI providers API’s for structured LLM-generated content. - Experience designing and implementing RESTful APIs. - Experience managing, monitoring, and debugging production environments. Nice to Have - Experience developing browser extensions - Desktop development capabilities (macOS, Windows) using modern frameworks (QT, Electron) - Proficiency with AWS or another leading cloud platform. - Familiarity with Docker throughout the development lifecycle and in live environments.

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. About the role We're looking for a Data Engineer to build and scale the data infrastructure that powers Runway's AI research and business intelligence. You'll own critical data pipelines spanning production databases, analytics warehouses, and large-scale ML training datasets. This role sits at the intersection of data engineering, ML infrastructure, and analytics—you'll enable both world-class research and data-driven business decisions. You'll work on challenging problems at scale: managing billions of rows of multimodal training data, building CDC streams from production systems, optimizing vector databases for ML workflows, and creating the foundational data layer that the entire company relies on. A peek at our technical stack Our data infrastructure spans multiple specialized systems: LanceDB for vector storage and dataset versioning with multimodal training data, ClickHouse as our analytics warehouse receiving CDC streams from production Postgres via AWS Kinesis, and BigQuery for training run logs and evaluation results. We use Ray for large-scale distributed data processing on managed Kubernetes clusters, handling preprocessing, feature generation, and dataset curation at scale. We're actively building out our data platform—introducing dbt for standardized transformations, improving dataset versioning and data lineage tracking, scaling data sourcing pipelines, and establishing better data quality practices. We use Prometheus and Grafana for monitoring, and Terraform for infrastructure management. This is an opportunity to bring best practices and technical leadership as we mature our data infrastructure to support rapidly growing ML training and research needs. What you’ll do - Build and own pipelines for the creation, curation, and processing of large-scale multimodal datasets, including vector database (LanceDB) management and query optimization for ML metadata - Build and own ETL and CDC streams from Postgres and ClickHouse to analytics warehouses - Build standardized data transformation layers using dbt to replace ad-hoc SQL queries and create maintainable data models for business analytics - Manage production databases (Postgres, ClickHouse) and optimize for performance and reliability What you’ll need - 4+ years of industry experience in data engineering - Strong knowledge of Python - Experience with data quality, deduplication, and cleaning at scale - Comfortable working with cloud storage (S3) and managing large datasets - Experience building and maintaining ETL/CDC pipelines at scale - Strong SQL skills and experience with multiple database systems (Postgres, columnar databases like ClickHouse/Redshift) - Humility and open mindedness; at Runway we love to learn from one another Nice to Have - Experience with one or more frameworks for large-scale data processing (e.g. Spark, Ray, etc) and one or more ML frameworks (e.g. PyTorch, JAX) - Knowledge of cloud platforms (AWS, GCP, or Azure) and their data service offerings - Knowledge of data privacy and data security best practices - Experience with business intelligence and visualization tools (e.g., Looker, Tableau, PowerBI, Metabase, or similar) - Experience in a high-growth startup environment or similar fast-paced setting Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC