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.