Senior Applied AI Engineer

About Us
👏 Team from OpenAI, DeepMind, NASA, GoogleX, Tesla, and 2 physicians: 6 exits, 2 IPOs.
🔥 Our model outperforms Claude, Gemini, and GPT-4.5 on clinical benchmarks.
📈 400+ healthcare orgs signed in 16 months.
⚡️ $25M raised from YC, Amity Ventures, Sequoia scouts, and more.
🌎 $1T+ market opportunity. We’re going after all of it.

About the Role
We are seeking a Senior Applied AI Engineer to design, deploy, and optimize production-grade AI systems powering Sully.ai’s real-time voice and medical agent technologies. This role is deeply technical and end-to-end — from data to model to service — and will help us build reliable, low-latency ML infrastructure integrated directly into healthcare workflows.

Key Responsibilities

• Design, deploy, and maintain end-to-end AI/ML systems (data → model → inference → service).

• Build robust evaluation, monitoring, and feedback pipelines for production ML.

• Integrate LLMs, retrieval systems, and semantic/voice pipelines into customer-facing products.

• Collaborate cross-functionally with Product and Infra to translate ML trade-offs into product outcomes.

• Drive experimentation speed and model reliability through CI/CD, metrics, and instrumentation.

Hard Requirements

• Demonstrable track record deploying AI/ML models in production.

• Strong software foundation (TypeScript, APIs, distributed systems).

• Familiarity with ML frameworks (PyTorch, TensorFlow, Hugging Face or similar).

• Experience building inference, evaluation, and monitoring pipelines.

• Excellent communication and collaboration skills across technical and non-technical teams.

Nice-to-Have

• Experience with LLMs, embeddings, or RAG pipelines in SaaS or startup environments.

• Familiarity with telephony APIs (Twilio/SIP/VoIP) and real-time ASR/NLU pipelines.

• Experience in healthcare, call center, or real-time conversational AI systems.

First-Month Focus

• Deploy and optimize a low-latency inference pipeline (<0.5 s target).

• Audit and improve evaluation metrics, drift detection, and guardrail coverage.

• Partner with Product to define success metrics for reliability and responsiveness in voice workflows.

Success OKRs (90 Days)

• Deliver production-ready LLM or voice AI systems integrated with Sully’s core stack.

• Establish automated evaluation and monitoring tied to user feedback loops.

• Reduce model latency and error rate by > 30% while maintaining accuracy benchmarks.

Culture Fit

• Persistent, driven problem solver.

• Willing to push back on leadership to defend quality/timelines.

• Thrives in high-ambiguity, fast-paced startup environments.

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.

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.