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Founding Software Engineer (AI / Full Stack)

Full Stack Full-time East Coast hours; preference for New York, Boston, or Toronto

Job details

Not specified Salary
East Coast hours; preference for New York, Boston, or Toronto Eligibility
Not specified Experience
Full-time Employment

About this role

Role overview Build core software that turns unstructured scientific information into traceable outputs for life sciences teams. The work spans data pipelines, APIs, AI agent systems, and customer-facing applications, with scope to focus more on agentic AI or full-stack product development. You’ll take features from loosely defined needs through production and work closely with internal teams to shape the product.

Responsibilities - Design and deliver features across data pipelines, APIs, and user-facing workflows. - Develop agentic systems for planning, tool use, retrieval, and evaluation using specialized models and scientific data. - Own projects from problem definition through deployment, with attention to reliability, scale, and accuracy. - Use feedback from internal teams to refine product capabilities; some work may involve deployment alongside major pharmaceutical customers. - Improve engineering practices for testing, observability, and security.

Requirements - At least three years of professional software engineering experience, with comfort working across the stack. - Strong software fundamentals and proficiency in Python and TypeScript, or comparable languages. - Experience building LLM or agentic systems, such as retrieval, tool use, evaluation, or agent loops. - A record of shipping useful software with care for reliability and detail; projects or open-source work can demonstrate this. - Comfort working through ambiguity and helping define requirements.

Nice to have - Experience at an early-stage, high-growth startup. - Experience training or fine-tuning machine learning or deep learning models. - Interest or experience in biology, chemistry, or pharmaceuticals. - A computer science or computer engineering degree, or equivalent experience.

Benefits and work setup - Full-time, remote position working East Coast hours; candidates in New York, Boston, or Toronto are preferred. - Compensation includes salary, equity, health coverage, and a 401(k) with employer matching. - Additional offerings include a daily lunch stipend, vacation flexibility, and in-person team retreats.

Skills detected in the listing

TypeScriptPythonLLM
Detected Nov 6, 2026
Last verified Nov 12, 2026

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