Software Engineer
Biovia
Role Description & ResponsibilitiesDassault Systèmes is seeking a Software Engineer to join our BIOVIA Lab Operations team in San Diego, CA or Waltham, MA. In this role, you will contribute to the development of our next-generation laboratory informatics platform, leveraging artificial intelligence, agentic workflows, and modern full-stack technologies to support scientists across the pharmaceutical and biotechnology industries.You will collaborate with cross-functional teams to develop innovative, scalable software solutions that enhance laboratory operations, improve scientific data accessibility, and support AI-driven workflows.Design, develop, and implement AI-powered agents and workflows to support laboratory processes, scientific data management, and experiment execution.Build and enhance full-stack enterprise applications using Java, Python, JavaScript/TypeScript, and modern development frameworks.Integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent orchestration frameworks into production applications.Develop scalable backend services, database integrations, and interactive web applications.Collaborate with scientists, product managers, and engineering teams to translate business requirements into technical solutions.Support the modernization of existing applications and adoption of AI-assisted, specification-driven development practices.Contribute to software architecture, design decisions, testing, and cloud-based deployments.QualificationsBachelor's degree in Computer Science, Software Engineering, Mathematics, Informatics, or a related scientific or technical field.0–2 years of professional software development experience, preferably in full-stack enterprise applications.Hands-on experience developing AI/LLM applications, including RAG, function calling, and agent orchestration using LangChain, LangGraph, or similar frameworks.Proficiency in Java and JVM-based technologies such as Spring Boot or Groovy/Grails.Experience with Python, including data processing libraries such as pandas.Strong knowledge of JavaScript/TypeScript and modern frontend frameworks such as Angular or React.Experience working with relational databases such as Oracle, MariaDB, or similar technologies.Solid understanding of object-oriented programming, software design patterns, and application architecture.Familiarity with AI-assisted development tools such as Cursor, Claude Code, or equivalent.Experience with DevOps practices, cloud development, and deployment processes.Strong problem-solving, communication, and collaboration skills.Preferred QualificationsExperience working in pharmaceutical, biotechnology, chemistry, or laboratory science environments.Knowledge of vector databases, semantic search, graph databases, or RDF.Familiarity with model evaluation, MLOps, and AI-powered enterprise applications.
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