Software Engineer, Research Associate

About Sully.ai

Our mission is "One Human, One Doctor". We are creating superhuman doctors, because access to doctors is a basic human right.

Start with making doctors superhuman. Our vision is to eliminate doctor distractions and help them navigate the best treatments for their patients.

About the role

About Us

At Sully.ai, we’re building cutting‑edge AI‑native infrastructure to power real‑time, intelligent healthcare applications. Our team operates at the intersection of high‑performance computing, ML systems, and cloud infrastructure — optimizing inference pipelines to support next‑generation multimodal AI agents. We're looking for a associate‑level engineer to help operationalize adaptive LLM systems in clinical workflows.

About the Project

This is an applied AI research initiative building on our recently published paper “Second Opinion Matters: Towards Adaptable Clinical AI”. The focus is on implementing adaptive LLM systems for clinical reasoning tasks—complexity‑based model selection, LLM ensembeling for performance gains, and cost‑efficient expert routing. You’ll collaborate directly with our lead researcher to bring the system from design to deployment.

What You’ll Do

• Implement a modular software architecture as defined in the project’s design documents.
• Modify and extend existing prototype code to support new features and experiments.
• Set up benchmarking pipelines and evaluation systems (using LLMs as judges) with academic datasets.
• Build supporting modules (e.g., medical task classifiers, model routing logic) from clear design specs.
• Integrate techniques from academic literature, ensuring clarity and consistency in code contributions.
• Maintain fast turnaround on implementation tasks and provide regular progress updates.

What You’ll Bring

• Proficient in Python, with experience writing clean, modular, and well‑documented code.
• General programming skills (Git, debugging workflows) and familiarity with API‑based development and structured outputs (e.g., JSON).
• Basic understanding of machine learning concepts and comfort reading/implementing academic research papers.
• Ability to follow design specifications and translate academic descriptions into production code.
• Comfortable in asynchronous, research‑oriented environments with strong communication skills.
• High attention to detail for accurate, reproducible implementations.
• Early career experience; recent graduates with strong technical foundations are encouraged to apply.

Why Join Sully.ai?

🔥 Shape the Future of Healthcare: Build category-defining partnerships that enable doctors to focus on saving lives.

📈 Early-Stage Impact: Join early and play a critical role in shaping our partnership roadmap and overall company growth.

🌎 Remote-First Culture: Work with a talented, mission-driven team in a flexible, remote environment.

💰 Competitive Compensation: Enjoy a competitive salary, equity, and the opportunity to make a real difference.

🏆 Solve Scalability Challenges: Tackle complex challenges in a rapidly growing company, driving impactful change in healthcare.

This is a fully remote contract position. Collaboration and coordination happen primarily via Slack, with flexible hours but enforced delivery timelines to meet research milestones.

Sully.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age. Sully.ai prohibits any form of workplace harassment.