Senior Full Stack AI/ML Engineer

Job Description

Senior Full Stack AI/ML Engineer 

The Senior Full Stack AI/ML Engineer designs, builds, and scales the user interfaces, APIs, and backend services that power our team's Generative AI and Natural Language Processing (NLP) applications. Key focus areas will include engineering applications and APIs that enable users to search data, interact with AI outputs, and extract actionable insights. You'll also design and build reusable packages and component libraries to share across our broader team. These applications support critical use cases spanning early-stage scientific research to post-market surveillance, including systematic literature reviews, competitive intelligence, target identification, and safety monitoring. 

You'll work directly alongside the data scientists and scientific subject matter experts who use your applications. You will have the autonomy to propose architectural directions, see your work streamline complex workflows, and ultimately help bring therapeutics to patients. As you grow, you'll have opportunities to expand into emerging areas, such as optimizing our APIs for large language model (LLM) tool calling and building connectors that integrate them into enterprise AI platforms. The position is embedded within a cross-disciplinary team of data scientists, bioinformaticians, and engineers dedicated to using cutting-edge AI/ML and data science techniques to drive drug discovery and development. 

What you will do:

• End-to-end delivery: Deliver features hands-on from user interface to backend logic with integrated data and AI capabilities, and drive development of complex initiatives 

• Requirements validation: Partner closely with stakeholders to clarify requirements and critically examine them for assumptions, feasibility, consistency, and completeness throughout the design lifecycle 

• Application standards: Shape modern application-layer patterns for UIs, APIs, and business logic across the team 

• Solution design: Write technical specifications that weigh architectural options, trade-offs, and risks, recommending the best-fit tools and approaches 

• Application quality: Ensure interfaces are accessible (compliant with Web Content Accessibility Guidelines, WCAG) and performant, and APIs are secure and observable, all backed by unit, integration, and component tests 

• Application ownership: Own, maintain, and support the team's production applications, proactively driving upgrades, bug resolution, and technical debt reduction 

• AI-enabled development: Integrate coding agents into team workflows, such as automated code review and fixes, test generation, and dependency upgrades, with appropriate human oversight 

• Knowledge building: Mentor team members through design discussions and constructive code reviews, and translate technical knowledge into clear, comprehensive documentation and onboarding materials 

What you should have:

• 5+ years of professional software engineering experience, with a focus on full-stack or frontend-heavy application development 

• 3+ years of experience building, scaling, and maintaining production-grade applications using React and TypeScript 

• Experience designing and building robust REST APIs in at least one backend language, combined with a working familiarity with Python 

Current Employees apply HERE

Current Contingent Workers apply HERE