Currently tracking 13 active AI roles, with 18 new openings in the last 4 weeks. Primary focus: Eval Gate · Product.
Abridge currently has 24 active AI-related job listings. The majority of these roles are focused on serving infrastructure, accounting for 33% of the openings, followed by application development at 21% and evaluation at 17%. Engineering is the most frequent function, with 14 roles, and all hiring is concentrated in the United States. The company is frequently seeking candidates with experience in model serving, evals, and llm observability. Over the last 30 days, Abridge has added 6 new AI roles, representing a 20% increase compared to the previous 30-day period.
Abridge currently has 20 active AI-related roles in our index. The most common open titles are: AI Enablement Program Manager , Clinician Scientist, Data Engineer, Director, Data Science, Director, Product Management - AI/ML, Core Product. Most positions are in Engineering and Product.
Abridge's active AI hiring is concentrated in: serving infrastructure (30%), agents (25%), evaluation (20%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Abridge is hiring AI talent in: United States (20 roles).
Job postings at Abridge most frequently reference: llm observability, evals, model serving, agent orchestration, inference infra.
In the past 30 days, Abridge has posted 4 new AI-related roles. That is a -33% change versus the prior 30 days (6 → 4).
| Title | Stage | AI score |
|---|---|---|
| Engineering Manager, Model Inference Engineering Manager to lead and grow the Model Inference team, focusing on architecting and scaling low-latency, high-throughput inference infrastructure for Abridge's generative AI products in healthcare. Responsibilities include technical direction, model optimization, deployment, and team leadership. | Serve | 9 |
| Software Engineer, GenAI GenAI Engineer role focused on designing and building LLM-driven workflows that leverage agentic capabilities, tool use, and retrieval systems. The role involves scaling and optimizing these workflows, owning architectural decisions, driving rigorous evaluation, and productionizing LLM workflows into low-latency, high-uptime environments with monitoring and guardrails. | AgentServe | 9 |
| Software Engineer, Gen AI Platform Software Engineer, Gen AI Platform at Abridge, focusing on building the runtime, orchestration engine, and evaluation platform for agentic LLM-driven workflows in healthcare. | AgentEval Gate | 8 |
| Machine Learning Infrastructure Engineer- Model Inference This role focuses on building and optimizing the core inference infrastructure for AI models in a healthcare setting. The engineer will design, deploy, and maintain scalable Kubernetes clusters, develop and optimize ML model serving infrastructure for high performance and low latency, and scale backend infrastructure for AI-driven products. Key responsibilities include optimizing compute-heavy workflows, enhancing GPU utilization, and building a robust model API orchestration system, collaborating with research and product teams. | Serve | 8 |
| Senior / Staff Software Engineer, Agentic Engineering Abridge is seeking a Senior/Staff Software Engineer for their new Agentic Engineering team. This role focuses on building the internal agentic infrastructure, CI/CD systems, and AI-assisted tooling that engineers at Abridge rely on to develop and ship software. The position involves designing and implementing agentic workflows, improving the developer experience, and evaluating AI tooling to enhance engineering velocity and operational efficiency within the healthcare domain. | Agent | 7 |
| Staff Application Security Engineer Staff Application Security Engineer at Abridge, a healthcare AI company. The role focuses on building and leading application security initiatives, including threat modeling, secure SDLC, vulnerability management, and incident response, with a specific emphasis on securing AI models, agents, and associated systems. Requires deep technical expertise, a builder's mindset, and experience in cloud environments and programming languages. | Agent | 7 |