Software Development Engineer, Senior Software Development Engineer – Agentic Systems, AI for D

• Develop and maintain backend services, APIs, and user-facing applications for an agentic drug design platform.
• Integrate machine learning models, scientific applications, databases, and internal services into reliable end-to-end workflows.
• Implement agentic capabilities, including tool execution, workflow orchestration, state management, evaluation, and observability.
• Build software that enables scientists to configure, run, inspect, and reproduce computational molecule design workflows.
• Deploy models and scientific tools into secure, scalable, cloud-based production environments.
• Write clean, maintainable, and well-tested code, and contribute to automated testing, documentation, code reviews, and CI/CD practices.
• Monitor deployed services, troubleshoot issues, and improve platform reliability, performance, and usability.
• Work closely with users to understand scientific needs, gather feedback, and translate requirements into practical software solutions.
• Contribute to technical design decisions and the ongoing evolution of the platform’s architecture.
• Develop familiarity with relevant drug discovery concepts and apply software engineering best practices in a scientific research environment.

• For the Software Engineer level, you have a bachelor’s or master’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience, and 3+ years of professional software engineering experience.
• For the Senior Software Engineer level, you have a bachelor’s or master’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience, and 5+ years of professional software engineering experience.
• You are proficient in Python and have strong software engineering fundamentals, including API design, automated testing, data modeling, and system design.
• You have experience independently delivering production software from technical design and implementation through deployment, monitoring, and ongoing support.
• You have built backend services, platform capabilities, developer tools, or user-facing applications in a cloud environment.
• You are comfortable working with relational databases, asynchronous workflows, containers, version control, and CI/CD practices.
• You can translate user and scientific needs into practical technical solutions and communicate effectively with engineers, researchers, product managers, and domain experts.
• You are interested in AI-enabled applications and in integrating models, scientific tools, and data into reliable workflows.
• You are motivated by delivering software to users and improving real scientific workflows.

Proficient in Python with strong software engineering fundamentals, including API Design, Automated Testing, and System Design. Experienced in developing and maintaining backend services and integrating machine learning models into cloud-based production environments.

• Python Programming
• API Design
• Automated Testing
• Cloud Environment Development
• Relational Database Management

• Backend Service Development
• Machine Learning Integration
• Data Modeling
• System Design
• Workflow Orchestration
• Code Review
• CI/CD Practices
• Tool Execution
• State Management
• Observability

• Effective Communication
• User Needs Translation
• Collaboration with Engineers
• Feedback Gathering

• Bachelor's Degree in Computer Science
• Master's Degree in Software Engineering

• Drug Design
• Scientific Applications
• Computational Molecule Design
• AI-Enabled Applications
• Scientific Research Environment

• Cloud-Based Production Environments
• Version Control
• Containers
• Asynchronous Workflows