Backend Engineer
About the job
- At least five years of professional backend development experience.
- Proficiency in Go and experience using Python or TypeScript.
- Experience designing scalable APIs and operating microservices.
- Experience designing or operating authentication and authorization systems, such as OIDC, OAuth2, or RBAC.
- Experience designing integrations across systems with differing APIs, data models, and authentication.
- Ability to identify the underlying needs behind colleagues’ requests and propose better solutions.
- Design, build, and operate the integrated product operations platform, including authentication, authorization, licensing, administration, dashboards, and internal APIs.
- Integrate data, authentication, and back-office user interfaces across internal tools and SaaS products such as Salesforce and Databricks.
- Design and operate integration interfaces with core products such as SwiftMR and SwiftSight, as well as internal data pipelines.
- Support domain teams’ operations automation by providing necessary backend interfaces and data access in collaboration with the AX team.
- Direct experience designing internal tools, administration systems, or platform products.
- Experience operating Keycloak or a similar identity provider, or policy-as-code tools such as OPA or Cedar.
- Experience operating Hasura or a GraphQL-based backend.
- Experience designing internal APIs using gRPC or Protobuf, including ConnectRPC or buf.
- Experience integrating enterprise SaaS APIs such as Salesforce, SAP, Notion, or Slack.
- Experience leading a small team or squad.
- Regular use of AI/LLM-based tools such as Claude Code or Codex in daily work, with a practical understanding of their limitations and potential.
About the company
AIRS Medical develops medical imaging AI and robotics to improve diagnostic workflows. Its flagship product, SwiftMR™, uses deep learning to reconstruct high-quality MRI images from accelerated, lower-quality scans, reducing scan times by up to 50% while maintaining image clarity. The software works as either a cloud-based or on-premise solution and is compatible with all MRI scanner vendors, models, and ages, avoiding costly hardware upgrades. It integrates with existing imaging workflows (DICOM, PACS) and is delivered via subscription or pay-per-use models. AIRS Medical differentiates itself through broad hardware compatibility, validated AI-based reconstruction (including wins at the fastMRI Challenge), and regulatory clearances (FDA 510(k), CE, Japan). Its goal is to shift healthcare from reactive to proactive and preventive care by increasing patient throughput and diagnostic efficiency.
Company Size
51-200
Company Stage
Series C
Total Funding
$41.2M
Headquarters
Seoul, South Korea
Founded
2018
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Simplify's Take
What believers are saying
- SimonMed is deploying SwiftMR across 170 centers, a major U.S. reference win.
- July 2026 FDA-cleared Auto Cut MIPs reduces technologist time by five minutes.
- SwiftSight releases in 2026 and 32,000-subject norms support higher-margin expansion.
What critics are saying
- Siemens, Philips, and GE can bundle native reconstruction, squeezing AIRS by 2027.
- SwiftMR still sits inside regulated medical workflows; any FDA recall would stall deployments.
- Revenue depends on hospital purchasing cycles; one lost SimonMed rollout would dent credibility.
What makes AIRS Medical unique
- SwiftMR works across all MRI vendors and ages, avoiding scanner replacement costs.
- SwiftSight adds quantitative MRI and structured reporting, widening AIRS beyond reconstruction alone.
- TA Associates backed AIRS in June 2026, validating global ambition and enterprise scale.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Paid Vacation
Paid Sick Leave
Paid Holidays
Remote Work Options
Flexible Work Hours
Training Programs
Growth & Insights and Company News
6 month growth
0%1 year growth
0%2 year growth
0%AIRS Medical has received US Food and Drug Administration 510(k) clearance for SwiftSight Body Composition, an AI-powered quantitative MRI solution for body composition analysis. SimonMed Imaging will be the first customer to deploy the technology. The system uses AI to quantify muscle and adipose tissue from MR images in under five minutes, including visceral and subcutaneous fat, abdominal and thigh muscle, muscle quality, and liver fat assessment. Automated analysis produces standardised reports with measurements benchmarked against reference populations. The solution is designed for high-volume imaging centres and enables healthcare organisations to expand MRI services without adding separate equipment. The technology supports repeat assessments over time without ionizing radiation. AIRS Medical plans to expand its quantitative MRI platform with diffusion tensor imaging in November 2026 and joint applications in 2027.
AIRS Medical, a global AI solutions provider for medical imaging, has secured a strategic growth investment from TA Associates to accelerate its international expansion and product development. The investment will support advancement of the company's AI-powered MRI technologies designed to improve imaging efficiency and expand patient access. Founded in 2018, AIRS Medical develops AI-native MRI acceleration and reconstruction software. The company currently supports over 1,700 healthcare institutions across more than 40 countries, with its technologies used in approximately 6 million MRI examinations annually. AIRS Medical's product suite includes SwiftMR, an AI-powered MRI acceleration and image enhancement solution, and SwiftSight, an MRI quantification and structured reporting platform. The company aims to address growing imaging demand and limited capacity challenges facing healthcare providers globally.
Recens Medical, a precision cooling technology company, has set its initial public offering price at KRW 11,000, the top of its indicative range of KRW 9,000-11,000. The bookbuilding attracted 2,261 institutional investors, achieving a subscription rate of 1,352.63 to 1, the highest among Korean IPOs this year. All participating institutions bid at or above the upper range, with 63.9% of orders including lock-up commitments of at least 15 days. The company will raise approximately KRW 15.4 billion through the offering, with an expected market capitalisation of around KRW 119.4 billion. Retail investor subscriptions are scheduled for 19-20 February, with a KOSDAQ listing planned for March. Proceeds will fund manufacturing automation, clinical trials for new indications, and global marketing expansion.
AIRS Medical, a Seoul-based AI and robotics healthcare company, raised $20M in Series C funding led by BSK Investment and Shinyoung Securities. The funds will be used to enhance their product SwiftMR, expand internationally, invest in R&D, and improve patient outcomes. SwiftMR is a deep learning-based solution that reduces MRI scan times by up to 50%.