We are currently looking for a Software Engineer, Gen AI & Web Apps to join our team.
Reporting to the Engineering Manager, you'll work on complex projects, actively contribute
to back-end and front-end initiatives, and grow along with other engineers as you develop
solutions for our software as a service (SaaS) products that help scientists save time and
increase their experiment quality.
Pay range: $100,000 - $125,000
We know compensation is an important part of choosing your next role. The range shown reflects our target hiring range, informed by market data, internal equity, and the role’s current scope. Often the mid-range is where we tend to fall, but individual offers may vary based on experience, skills, and the role scope.
You Will:
Develop and ship new features and bug fixes within a cross-functional team of data engineers, PMs, and AI scientists.Collaborate closely with your immediate team (3–5 engineers) on technical investigations, solution designs, and high-quality code implementation.Build and maintain robust web applications that integrate with LLMs and generative AI workflows.Write clean, tested code that adheres to our standards for scalability and maintainability.Participate in code reviews, providing and receiving constructive feedback to ensure high engineering quality.Assist in troubleshooting and resolving production issues in a timely and efficient manner.Contribute to projects serving some of the world’s largest pharmaceutical companies, ensuring data security and reliability.Actively learn from world-class engineers to rapidly accelerate your technical and professional growth.
You Have:
Proficiency in building full-stack applications using a Python/Django back-end and a React/TypeScript front-end.2+ years of experience as a professional full-stack developer(adjusted from 4+).Foundational understanding of GenAI concepts (e.g., prompting, RAG workflows, or interacting with LLM APIs).A proactive mindset—you are comfortable asking questions and digging into complex problems to find the right solution.
Nice To Have:
Experience with authentication flows and SSO (e.g., OAuth, SAML).Prior exposure to vector databases or AI orchestration frameworks like LangChain or LlamaIndex.Experience working in a regulated industry (HealthTech, FinTech, etc.).
