Full Stack Engineer

The client develops medicines for patient populations underserved by traditional generic drug development, using pharma, machine learning, data science, and internally built software. The Full Stack Engineer will own applications end to end, translate scientists’ needs into shipped features, and build and evaluate agentic and multi-agent AI systems.

Responsibilities:

• Own applications end to end. Get up to speed across their mix of LLM-based and standard full stack applications, then take ownership of a growing share of them. As you take on more, you'll be designing and building features end to end rather than working one corner of a single product
• Turn scientists' questions into shipped software. You'll work day to day with pharma, ML and data scientists, and with a few other engineers on the team. Take a rough idea of what a scientist needs, spec it out into concrete requirements yourself, then build it. There's no separate product function doing that translation for you
• Move fast with unclear inputs. This is a high-velocity, low-structure job: expect a constant stream of unstructured feedback and the need to turn it into shipped, working software, not a fully-scoped ticket
• Build the agents, not just use them. Build and evaluate agentic and multi-agent systems as a core part of the job. This isn't a side project or an experiment, it's part of the core application set scientists rely on day to day
• Grow by taking on more. Our client is a young company without a fixed playbook: the more you build, the more you can own. Progression here is driven by impact rather than tenure. One of the team's current engineers joined as an intern and now owns engineering end to end