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.
Vertical AI · Medical AI scribing
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 |
| Senior Backend Engineer Backend engineer to build data and processing foundations for a generative AI healthcare platform. Focus on cloud-native applications, services, and APIs, with potential projects involving processing pipelines and data storage. Role involves researching solutions, enhancing existing systems, and collaborating with ML and platform engineering teams. | — | 5 |
| 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 |
| Implementation Engineer Abridge is seeking an Implementation Engineer to manage the post-sales technical execution of their AI-powered healthcare platform. This role involves ensuring smooth integrations, troubleshooting technical issues, monitoring system health, and acting as a technical bridge between partners and internal teams. The goal is to remove technical barriers and ensure the Abridge platform performs optimally within client health systems. | — | 5 |
| Senior Enterprise Security Engineer Senior Enterprise Security Engineer to build and operate enterprise security controls protecting identities, endpoints, and corporate infrastructure at an AI-in-healthcare company. Focuses on IAM, endpoint security, SaaS security, automation, and network security, with a specific responsibility to support the security of corporate AI adoption. | — | 5 |
| Design Imagineer This role focuses on building AI-powered tools for designers, enabling them to prototype and ship product experiences. It involves creating AI-native tooling that leverages LLMs and generative systems to redefine the design process and empower designers to become builders. | Agent | 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 |
| Engineering Manager, AI Productivity Engineering Manager to drive improvements in developer experience and productivity by evolving the developer platform, cloud infrastructure, and CI/CD systems. This role will focus on enabling fast, reliable, and AI-augmented software delivery, leading a team, and embedding AI into the development lifecycle to accelerate productivity and improve code quality. | Serve | 5 |
| Engineering Manager, AI Productivity This role is for an Engineering Manager focused on improving developer experience and productivity within an AI-powered healthcare platform company. The manager will lead a team responsible for the developer platform, cloud infrastructure, and CI/CD systems, with a strong emphasis on integrating AI into the software development lifecycle to accelerate delivery, improve code quality, and enhance developer productivity. The role involves technical leadership, team building, and operational excellence, aiming to reduce friction and increase velocity for engineers. | — | 5 |
| Staff Software Engineer Software Engineer role focused on building and supporting AI-powered web applications and backends in the healthcare domain. The role involves designing, building, and scaling cloud-based services, making technology decisions, and enhancing existing systems. A key aspect is the use of AI tooling in the daily workflow and experience with regulated environments. | Ship | 5 |
| Engineering Manager, Platform Engineering Manager for Platform at Abridge, focusing on improving developer experience and productivity. The role involves evolving the developer platform, cloud infrastructure, and CI/CD systems to enable fast, reliable, and AI-augmented software delivery. Key responsibilities include leading a team, driving execution of platform capabilities, and embedding AI into the development lifecycle to accelerate productivity and improve code quality. | Serve | 5 |
| Design Imagineer This role focuses on building AI-powered tools for designers, enabling them to prototype and ship product experiences. It involves creating AI-native tooling that leverages LLMs and generative systems to redefine the design process and empower designers to become builders. | Agent | 5 |
| Engineering Manager, Platform Engineering Manager for Platform at Abridge, focusing on improving developer experience and productivity through platform evolution, cloud infrastructure, and CI/CD systems. The role involves leading a team, driving execution, and integrating AI into the development lifecycle to accelerate productivity and improve code quality. | Serve | 5 |
| Senior Full Stack Engineer, Integrations Cerner This role is for a Senior Full Stack Engineer focused on integrations for a healthcare AI company. The engineer will design, build, and scale real-time and batch data integrations with partners and clients, leveraging healthcare standards like FHIR and EMR systems like Cerner. The role involves collaborating with customers, enhancing existing systems, and advocating for high standards. While the company's product is AI-powered, this specific role focuses on the integration infrastructure rather than direct AI model development. | — | 5 |
| Manager, Enterprise Security Manager, Enterprise Security role at Abridge, a healthcare AI company. This is a greenfield opportunity to build and lead the enterprise security program from the ground up, focusing on identity, endpoint, SaaS, and corporate infrastructure. The role involves defining strategy, building a team, architecting IAM and Zero Trust, securing the endpoint fleet, driving SaaS and third-party security, automating processes, and leading enterprise AI security initiatives. Requires 8+ years in enterprise security, with 2+ years in management, strong IAM and endpoint security expertise, cloud/SaaS fluency, and an engineering mindset. The role also requires partnering cross-functionally and leading AI security for corporate adoption. | — | 5 |
| Senior Manager, Enterprise Security This role is for a Senior Manager of Enterprise Security at Abridge, a healthcare AI company. The primary focus is on building and leading the enterprise security program from the ground up, covering identity, endpoint, SaaS, and corporate infrastructure. A key responsibility includes leading the strategy for securing corporate AI adoption, including governance, data loss prevention, and prompt injection risks. The role requires significant experience in enterprise security, IAM, endpoint security, and cloud/SaaS environments, with a strong engineering and automation mindset. While the company is AI-focused, this role is about securing the enterprise and corporate AI usage, not directly building AI models or products. | — | 5 |
| Senior/Staff Threat Detection Engineer Abridge is seeking a Senior/Staff Threat Detection and Response Engineer to build security from the ground up for their AI in healthcare platform. This role involves leading investigations, designing threat detection roadmaps, architecting incident response processes, driving automation, and conducting security research. The ideal candidate has extensive experience in detection engineering and incident response, a builder's mindset, and strong technical and communication skills. | — | 5 |
| Data Engineer Data Engineer to build and optimize large scale data infrastructure for ML training and evaluation, and to support business decisions and product features. Focus on data pipelines, OLAP databases, ELTs, and data tooling. | Data | 5 |
| Senior Quality Engineer Abridge is seeking a Senior Quality Engineer to drive quality culture, focusing on breaking products, manual testing, automation development, shift-left testing, refining requirements, optimizing pipelines, and mentoring. The role requires 5+ years of QA/software development experience with JavaScript and test automation tools, a critical thinking and shift-left mindset, and strong collaboration skills. Experience with AI/ML products is a bonus. | — | 5 |
| Senior/Staff Infrastructure Security Engineer This role focuses on building and scaling the security infrastructure for an AI-powered healthcare platform. The engineer will develop internal security platforms, automate security workflows, implement infrastructure-as-code, and build security data pipelines. The role emphasizes a platform-first mindset and a data/automation approach to security. | — | 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 |
| Senior Software Engineer Software Engineer role focused on building and supporting AI-powered web applications and backend services for a healthcare company. The role involves making architectural decisions, recommending technologies, and ensuring systems scale reliably and securely. Engineers will ship AI-powered features and use AI tooling in their daily workflow. | Ship | 5 |
| Senior/Staff Application Security Engineer Abridge is seeking a Senior/Staff Application Security Engineer to build security from the ground up at the leading edge of AI in healthcare. The role involves leading threat modeling, defining security strategy, mentoring teams, conducting secure code reviews (including AI models and agents), performing penetration testing, and overseeing the vulnerability management program. The ideal candidate has 7+ years of experience, proficiency in programming languages, cloud security expertise, and a deep understanding of AI/ML security. | — | 5 |
| IT Operations Team Lead The IT Operations Team Lead will be responsible for the day-to-day health of the IT Operations function, including ticket queue quality, SLA performance, and escalation paths. This role involves hands-on support, process improvement, team enablement, and ensuring support practices align with HIPAA and SOC 2 requirements in a healthcare AI environment. | — | 0 |
| Senior Full Stack Engineer, Integrations Epic This role is for a Senior Full Stack Engineer focused on building and scaling integrations for a healthcare AI platform. The engineer will work with healthcare standards like FHIR, REST APIs, and partner APIs to connect the Abridge platform with health systems and EMRs. The role involves designing, building, and supporting integrations, enhancing existing systems, and collaborating with cross-functional teams including machine learning and infrastructure. | — | 0 |
| Senior IT Systems Engineer Abridge is seeking a Senior IT Systems Engineer to manage and secure their corporate infrastructure and endpoint ecosystem, ensuring compliance with healthcare AI regulations like SOC 2 and HIPAA. The role involves endpoint management, cloud infrastructure operations, security hardening, and identity management. | — | 0 |
| Senior GTM Recruiter Abridge is seeking a Senior GTM Recruiter to lead full-cycle hiring for G&A and GTM functions, partnering with senior leaders to shape hiring strategy and build high-performing teams. The role requires a full-stack recruiter with strong sourcing skills, data-driven decision-making, and a consultative approach to talent acquisition in a high-growth environment. | — | 0 |
| Technical Recruiter Technical Recruiter role at Abridge, a healthcare AI company, focused on building Platform and ML Engineering teams. Responsibilities include full-cycle recruiting, strategic partnership with leadership, sourcing passive candidates, driving inclusive practices, enhancing employer brand, optimizing processes, and providing data-driven insights. | — | 0 |
| Staff IT Automation Engineer Staff IT Automation Engineer responsible for driving efficiency and scale across the corporate IT infrastructure and enterprise ecosystem by designing, building, and maintaining automation solutions for SaaS, workflows, asset management, API integrations, and IAM. Focuses on engineering best practices and technical leadership. | — | 0 |
| Senior Full Stack Engineer, Integrations VistA This role is for a Senior Full Stack Engineer focused on building and scaling integrations for Abridge's AI-powered healthcare platform. The engineer will work with healthcare standards like FHIR and APIs to connect with EMR systems and partners, ensuring security and privacy. While the company heavily utilizes AI, this specific role focuses on the integration and infrastructure aspects rather than direct AI/ML model development. | — | 0 |