Founding Software Engineer (AI / Full Stack)

Capsule Ai; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health coverage

Equity

401(k) matching

Daily lunch stipend

Job summary

Capsule Ai is hiring a software engineer to build core software that transforms unstructured scientific information into traceable outputs for life sciences teams. You will work on data pipelines, APIs, AI agent systems, and customer-facing apps, shaping features from rough ideas to production.

We value 3+ years of experience, strong Python/TypeScript skills, and hands-on work with LLM or agentic architectures.

Qualifications

• 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.

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.

Skills

Python

TypeScript

LLM/agentic systems

Education

Computer science or computer engineering degree

Job description

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.