Full-Time

Senior SDET

Backend

Posted on 1/2/2026

Suki AI

Suki AI

201-500 employees

AI voice assistant for clinical documentation

No salary listed

Bengaluru, Karnataka, India

In Person

Category
QA & Testing (1)
Required Skills
RabbitMQ
gRPC
Python
Software Testing
Machine Learning
Apache Kafka
Java
Docker
Quality Assurance (QA)
Jenkins
Buildkite
Google Cloud Platform
Requirements
  • 7+ years of experience as an SDET or Software Development Engineer in Test (ASDE), with a heavy emphasis on backend systems.
  • Hands-on experience testing or validating AI/ML models, pipelines, or data-driven systems; must be comfortable discussing model metrics like precision, recall, Word Error Rate, or drift detection.
  • Deep experience with gRPC and asynchronous messaging (Kafka, RabbitMQ); understanding of bidirectional streaming and protocol buffers.
  • Proficiency in Python for ML validation and Java; experience with performance testing tools such as K6 or Locust is required.
  • Ability to design test strategies that consider the Business Case and translate model accuracy into a seamless user experience for clinicians.
  • Experience with Buildkite, Jenkins, Docker, and cloud platforms, with a preference for Google Cloud Platform.
Responsibilities
  • Lead the QA strategy by designing and owning the end-to-end test automation strategy that bridges the User Interface, Backend Microservices, and Machine Learning Inference layers.
  • Build AI-powered frameworks by architecting and implementing scalable automation frameworks for gRPC-heavy architectures and event-driven systems (Kafka).
  • Drive ML quality engineering by developing methodologies to validate Automatic Speech Recognition and Natural Language Processing models, including automating the measurement of Word Error Rate, intent classification accuracy, and hallucination rates.
  • Perform model-to-model validation by building and fine-tuning evaluation models to test production models, ensuring clinical context and accuracy are maintained across releases.
  • Mentor and grow the team by acting as a technical mentor for a team where 60% of engineers are in their early career stages, coaching them into high-performing AI/Quality engineers.
  • Advance with agentic artificial intelligence by proactively identifying opportunities to use large language models and autonomous agents to automate the entire testing lifecycle from requirement to execution.

Suki AI provides an AI-powered voice assistant for healthcare professionals to handle clinical documentation. It works by capturing notes through ambient, dictation, or command modes and can synchronize with leading Electronic Health Record (EHR) systems, allowing notes to be started in the EHR and finished in Suki or vice versa. The product reduces time spent on documentation by up to 72%, freeing clinicians to spend more time with patients. Suki operates on a subscription model: a per-user-per-month fee with an additional charge for an enterprise-grade clinical documentation app; EHR integration is not included in the base subscription. The company differentiates itself through EHR integration, flexible note-taking modes, and seamless cross-system note workflow, targeting healthcare professionals who want to streamline documentation. The goal is to increase clinicians’ time with patients by making documentation faster and easier, improving efficiency in clinical settings.

Company Size

201-500

Company Stage

Series D

Total Funding

$165M

Headquarters

Redwood City, California

Founded

2017

Simplify Jobs

Simplify's Take

What believers are saying

  • Rush pilot boosted encounters 10% and Level 5 coding 5% in 2025.
  • Athenahealth Ambient Notes rolled out to all users post-60,000 encounters.
  • Google Cloud Vertex AI adds patient summaries and Q&A functionality.

What critics are saying

  • Freed AI and Abridge erode share with superior transcription accuracy.
  • DeepScribe undercuts $299/month pricing with AI receptionist features.
  • Epic native dictation obsoletes Suki for 35% of US hospitals by 2028.

What makes Suki AI unique

  • Suki Assistant reduces documentation time by 72% via ambient AI listening.
  • Deep Epic integration enables bidirectional note syncing with Haiku.
  • End-to-end assistant provides summaries, Q&A, and coding support.

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Benefits

Remote Work Options

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

1%
Asian Hospital & Healthcare Management
Jul 25th, 2025
Suki Expands Executive Leadership Team to Accelerate the Future of Ambient AI in Healthcare

Suki, the leader in artificial intelligence (AI) technology for healthcare, today announced the addition of three seasoned leaders to its executive team: Dr. Kevin Wang joins as Chief Medical Officer, Joe Chang as Chief Technology Officer, and Dr. Vikram Khanna (PhD) as Chief Customer Officer.

HIT Consultant
May 1st, 2025
Suki Ambient Ai Notes Now Generally Available To All Athenahealth Network Users

Suki Ambient AI Notes Now Generally Available to All athenahealth Network Users. by Fred Pennic 05/01/2025 Leave a Comment. Source: Suki AIWhat You Should Know: – Suki, a leader in AI technology for healthcare, announced the general availability of its ambient technology to all health systems within athenahealth’s network through athenahealth’s integrated Ambient Notes solution. This significant milestone expands a longstanding partnership of over seven years between Suki and athenahealth, a prominent provider of network-enabled software and services for healthcare organizations nationwide.– The general release follows a highly successful beta phase where clinicians utilized Suki’s ambient technology via Ambient Notes in over 60,000 patient encounters, demonstrating strong adoption and user engagement.Seamless Integration into Clinician WorkflowThis deepened technology integration means all athenahealth users now have the option to leverage Suki’s AI capabilities directly within their existing athenaOne mobile app workflow. This eliminates the need for separate applications and provides a more seamless user experience compared to the previous Suki Assistant offering available through the athenahealth Marketplace.The original Suki Assistant integration saw over 2,000 clinicians utilize the tool across more than 2 million clinical encounters, highlighting Suki’s established presence within the athenahealth ecosystem.Proven Benefits for CliniciansClinicians using Suki’s ambient technology report significant reductions in administrative burden and improvements in work-life balance.“In my primary care practice, I was used to spending 4-6 hours on my weekend completing documentation on top of a 50+ hour work week. Now using Suki’s ambient listening capabilities through Ambient Notes, I haven’t gone to the clinic on a single weekend and am close to 90-100 percent same-day note completion,” shared Dr

PYMNTS
Apr 18th, 2025
Johnson & Johnson: 15% Of Ai Use Cases Deliver 80% Of Value

Johnson & Johnson reportedly found that 10% to 15% of artificial intelligence use cases deliver 80% of the value.The medicine and MedTech company determined that after encouraging employees to experiment with AI and, after about three years, seeing the results of their pursuits of nearly 900 use cases, The Wall Street Journal (WSJ) reported Friday (April 18).Johnson & Johnson is now devoting resources to the highest-value projects and cutting the rest, according to the report.“We’re prioritizing, we’re scaling, we’re looking at the things that make the most sense,” Johnson & Johnson Chief Information Officer Jim Swanson said, per the report. “That was part of the maturation process we went through.”The use cases that are delivering the most value include a generative AI copilot that coaches sales representatives on how to engage with healthcare professionals, and an internal chatbot that answers employees’ questions about company policies and benefits, according to the report.Johnson & Johnson is also developing an AI tool that will facilitate drug discovery and another that will identify and mitigate supply chain risks, per the report.Swanson said in the report that the broader approach was necessary three years ago to gain familiarity with the technology but that it’s now time to focus on the use cases that can be successfully implemented, are widely adopted and deliver value.The PYMNTS Intelligence report “The AI MonitorEdge Report: Healthcare Firms Going Long on GenAI Investment” found that 90% of C-suite executives at healthcare firms with at least $1 billion in annual revenue said that their previous generative AI investments have already achieved a positive return on investment.The two applications that represent the most frequent use cases of generative AI — product and service innovation and real-time automated customer service responses — are being used by about 6 in 10 of these healthcare firms, per the report.It was reported in March that Apple is working on an AI agent that can dispense medical advice.Healthcare AI firm Suki said in October that it raised $70 million in new funding to invest in the development of its products, which include an AI-powered voice assistant used by clinicians.In October 2023, Microsoft unveiled AI-powered products that help doctors glean insights from medical data.For all PYMNTS AI coverage, subscribe to the daily AI Newsletter

CO/AI
Mar 17th, 2025
Suki's health plans expand beyond AI scribing with Epic integration and Rush partnership

Suki also partnered with Wolters Kluwer Health to integrate the UpToDate clinical evidence database into Suki Assistant, enhancing point-of-care decision support for clinicians.

PYMNTS
Mar 6th, 2025
Athenahealth Expands Ai Documentation Technology With Abridge Partnership

Athenahealth is partnering with Abridge to integrate the company’s enhanced note-taking technology into its platform for clinicians, as the market for ambient scribing is becoming more crowded. Abridge offers ambient note-taking, which is an artificial intelligence (AI)-powered technology that listens to a patient and doctor conversation and generates structured medical notes. After a review by the doctor, these notes are added directly to a patient’s electronic health record. The note-taking tool is also multilingual; it can record the patient-doctor conversation in one language and write it up in another language

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