Suki AI currently has seven active AI-related job listings. The majority of these roles, 57%, are focused on agents. The company is hiring engineers in India, which accounts for three of the listings. Frequent technology tags include model serving, agent orchestration, and RAG, suggesting a focus on building and deploying AI agents.
Suki AI currently has 5 active AI-related roles in our index. The most common open titles are: Architect, Machine Learning Engineer III (NLP), SDET III (Backend), Senior Software Engineer (AI Engineering), Staff Machine Learning Engineer. Most positions are in Engineering.
Suki AI's active AI hiring is concentrated in: agents (80%), serving infrastructure (20%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Suki AI is hiring AI talent in: India (3 roles).
Job postings at Suki AI most frequently reference: model serving, llm observability, agent orchestration, inference infra, rag.
In the past 30 days, Suki AI has posted 0 new AI-related roles.
Vertical AI · Clinical documentation AI
Currently tracking 6 active AI roles, down 33% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $190k–$250k (avg $221k).
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineer III (NLP) Machine Learning Engineer III (NLP) at Suki AI, a healthcare technology company using generative AI for clinical documentation. The role focuses on enhancing NLP capabilities, managing datasets, optimizing ML infrastructure, and deploying state-of-the-art deep neural network models, including LLMs, RAG, and evaluation frameworks. The goal is to reduce administrative burdens for clinicians. | AgentData | 9 |
| Architect Software Architect role focused on maintaining architectural coherence for an AI voice solution in healthcare, specifically Suki Assistant. The role involves owning the load-bearing substrate, driving structural decomposition, bridging AI research and production infrastructure, and mentoring engineers. Key responsibilities include managing ML inference, GPU fleet operations, agentic framework direction, and ensuring system resilience at scale. | AgentServe | 8 |
| Staff Machine Learning Engineer Staff Machine Learning Engineer at Suki AI, focused on enhancing NLP capabilities for Suki Assistant and Suki Platform. The role involves leveraging expertise in LLMs, RAG, and evaluation frameworks to improve computational infrastructure, manage datasets, and optimize system performance for real-time clinical documentation automation. Requires end-to-end ownership of AI systems in production and experience building distributed backend services for ML/AI applications. | AgentServe | 8 |
| Senior Software Engineer (AI Engineering) Senior Software Engineer to build and maintain LLM-powered microservices for healthcare AI applications, focusing on EMR integration and advancing the company's Ambient Clinical Intelligence platform. Requires strong backend, distributed systems, and LLM experience. | Agent | 7 |