Senior Software Engineer – AI Engineering

About the Team

Our team builds Leap Space, the research companion for the people working at the frontier of human knowledge: researchers, clinicians, and innovators advancing science, healthcare, and life sciences. We help them ask better questions, follow ideas across disciplines, and reach decisions they can stand behind. Leap Space fits into the real workflow of a researcher. It reads with them, drafts with them, and remembers context across a project, so the heavy lifting of reviewing literature, comparing evidence, and structuring arguments becomes lighter and faster.

Our team shapes every part of that experience, from the moment a user types a question to the moment they cite a result in their work. As part of this mission, the AI Engineering team is focused on building reusable generative AI capabilities that can be embedded across products and platforms. We create scalable, secure, and production‑ready AI services — enabling downstream teams to integrate cutting‑edge GenAI features with confidence.

We are seeking a Senior Software Engineer I with a passion for generative AI and platform architecture. In this role, you will implement robust systems to deliver reusable AI services and components, collaborating closely with cross‑functional stakeholders to solve meaningful challenges. You will also contribute to mentoring other engineers and help evolve our engineering practices.

• Design, develop, and maintain generative AI services and reusable components using mostly Python and a little bit of Java.
• Define and promote best practices in engineering, including scalability, observability, testing, and CI/CD.
• Contribute to system designs spanning multiple services and modules, aligning with architectural best practices.
• Collaborate with product, platform, and research teams to translate AI prototypes into production‑ready capabilities.
• Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications.
• Contribute to the resolution of complex technical challenges across distributed systems.
• Mentor less‑senior developers on engineering principles, GenAI patterns, and platform development.
• Participate in code reviews, architecture sessions, and cross‑team initiatives to ensure quality and maintainability.
• Stay informed of the latest developments in generative AI and advocate for responsible integration into product ecosystems.

• 5+ years of software engineering experience.
• Solid understanding of software development methodologies and data modeling principles.
• Deep expertise in Python and Java.
• Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., Lang Chain, Lang Graph).
• Strong experience with Kubernetes (EKS) and cloud‑native architectures.
• Proven track record building scalable backend systems and APIs.
• Experience mentoring engineers and contributing to architectural decisions.
• Ability to work collaboratively across functions in an Agile or Kanban environment.
• Nice to have:
  Experience operationalizing LLMs or building internal AI platforms.
• Nice to have:
  Familiarity with observability practices (metrics, logging, alerts).
• Nice to have:
  Exposure to knowledge graphs or semantic search systems.

Working flexible hours — flexing the times you work in the day to help you fit everything in and work when you are the most productive.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers: EEO Know Your Rights.