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.
Currently tracking 13 active AI roles, with 18 new openings in the last 4 weeks. Primary focus: Eval Gate · Product.
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).
Vertical AI · Medical AI scribing
| 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 |
| 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 |
| Staff Software Engineer, Scaling AI Systems Abridge is seeking a Staff Software Engineer to join their scaling AI systems team. This role focuses on improving the performance, stability, and scalability of their software, with an 80% software and 20% cloud infrastructure focus. Responsibilities include load testing, chaos engineering, identifying and resolving performance bottlenecks, rehoming applications onto scalable platforms, building developer tools, and improving observability and incident response. The ideal candidate has 10+ years of experience in distributed systems or tooling, backend engineering, and scaling compute services on Kubernetes, with experience in GCP. | Serve | 5 |
| Staff Platform Engineer Staff Platform Engineer to scale cloud infrastructure, developer platform, and operational maturity for an AI-powered healthcare platform. Focus on multi-tenant, multi-cloud infrastructure, CI/CD, security, and observability, ensuring reliability, scalability, and compliance (SoC2, HIPAA). | Serve | 5 |
| Senior Platform Engineer Abridge is seeking a Senior Platform Engineer to scale their cloud infrastructure and developer experience. The role involves multi-tenant/multi-cloud infrastructure, security practices, Terraform, service templates, CI/CD, and observability. The goal is to maximize engineering velocity and security at scale, with a focus on AI-first, cloud-native, and security-first implementations in healthcare. | Serve | 5 |
| Senior Software Engineer, Scaling AI Systems Abridge is seeking a Senior Software Engineer to join their scaling AI systems team. This role focuses on improving the performance, stability, and scalability of their AI-powered healthcare platform. Responsibilities include load testing, chaos engineering, identifying and resolving performance bottlenecks, driving software changes for scalability, building developer tools, and improving incident response through enhanced observability. The role is primarily software-focused with a portion on cloud infrastructure, working with distributed systems and cloud-native technologies on GCP. | Serve | 5 |