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.

Software Engineer, Gen AI Platform at Abridge, focusing on building the runtime, orchestration engine, and evaluation platform for agentic LLM-driven workflows in healthcare.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.