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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.

Auto-generated from active job postings · last refreshed 2026-05-24

Currently tracking 13 active AI roles, with 18 new openings in the last 4 weeks. Primary focus: Eval Gate · Product.

Hiring
13 / 14
Momentum (4w)
↓-1 -5%
18 opens last 4w · 19 prior 4w
Salary range
—
Tracked since
Jul '25
last role 5w ago
Hiring velocityscroll left for older weeks
2 new roles
Apr 14
2 new roles
May 19
1 new role
Jul 7
1 new role
Aug 18
1 new role
25
1 new role
Sep 1
1 new role
22
2 new roles
Oct 6
1 new role
13
1 new role
Nov 17
1 new role
Dec 8
1 new role
Jan 5
1 new role
12
2 new roles
19
4 new roles
26
3 new roles
Feb 16
2 new roles
23
4 new roles
Mar 2
3 new roles
9
4 new roles
16
3 new roles
30
5 new roles
Apr 6
4 new roles
13
4 new roles
20
8 new roles
27
1 new role
May 11
7 new roles
18
3 new roles
25
9 new roles
Jun 1
4 new roles
8
1 new role
15
4 new roles
22

Frequently asked questions

  • What AI roles is Abridge hiring for?

    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.

  • What stage of AI development does Abridge focus on?

    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.

  • Where is Abridge hiring AI talent?

    Abridge is hiring AI talent in: United States (20 roles).

  • What technologies does Abridge's AI team work with?

    Job postings at Abridge most frequently reference: llm observability, evals, model serving, agent orchestration, inference infra.

  • How many AI roles has Abridge posted recently?

    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).

Abridge

Abridge

Vertical AI · Medical AI scribing

HQ
Pittsburgh, US
Founded
2018
Website
abridge.com

Jobs (6)

13 AI · 55 total active
FilteredStageServe×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 1Post-train · 2Serve · 6Agent · 5Eval Gate · 4Ship · 2
Function
AllProduct · 32Engineering · 19Research · 4
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI 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.
ServeEngineeringSan Francisco, CA5w ago9
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.
ServeEngineeringSan Francisco, CAAug '258
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.
ServeEngineeringSan Francisco, CA2w ago5
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).
ServeEngineeringSan Francisco, CA5w ago5
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.
ServeEngineeringSan Francisco, CAMay '255
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.
ServeEngineeringSan Francisco, CAMay '255