What they do: AI platform for healthcare denial recovery and payer-rule automation
Founded: 2023
Headquarters: Bay Area (Palo Alto / Milpitas)
Stage / Funding: Early-stage (Pre-seed / Seed) with investors including Plug and Play
Employees: ~18
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Company Overview
Problem Domain
Healthcare revenue cycle — denied claims recovery and payer-rule complexity
Founded
2023
Industry
Hospitals and Health Care
Funding Track Record
Pre-Seed / Seed- 2024-02
Round reported with three investors including Plug and Play, Hatcher+, and YAR VENTURES
Investor Signal
“Participation from Plug and Play and Hatcher+ reported”
Founders
What we do
Join the Team
Back End Developer
RemoteIN
Remote • IN
PLEASE READ ** Immediate joiners only ** please apply only if you are available to start right away.
Position:
Backend Software Engineer
Location:
Remote
Employment type:
Full-time. part-time considered for the right candidate.
Start Date: November 15th, 2025
Gabeo.ai is a fast-growing, venture-backed health technology startup partnering with leading healthcare organizations. We build AI-driven products for revenue cycle management, helping hospitals recover lost revenue and understand their data. We are scaling our engineering team quickly and looking for a Backend Software Engineer who is versatile across backend, cloud, DevOps, and occasionally frontend or desktop frameworks.
This role is ideal for someone who enjoys owning systems end to end, moving fast in a startup environment, and working across multiple technologies.
What You’ll Do:
Required Skills and Experience
Preferred Skills (Huge Plus) *PLEASE READ*
How You Work
Strong problem-solving and debugging abilities
Systems thinking – you understand how components interact and scale
Clear communication – you can explain technical decisions and document systems
Ownership mindset – you take responsibility from design to production and follow through
Performance consciousness – you care about efficiency and real-world behavior of your code
Security awareness – you understand common vulnerabilities and best practices
Adaptable and proactive across different tech stacks
Continuous learner who stays current with backend technologies and cloud services
Why Join Gabeo.ai
Fast-paced startup where your work has immediate, visible impact
Opportunity to work across multiple layers of the stack: backend, cloud, DevOps, frontend and desktop
Remote-first culture with ownership of deliverables and autonomy in how you work
Chance to shape the architecture and foundation of a high-traction Silicon Valley health-tech startup
Work closely with a senior, highly technical team on meaningful problems in healthcare
If this sounds like you, please apply!
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
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Design, build, and maintain scalable backend services using Python (FastAPI and Flask)
Architect and implement high-performance, async FastAPI endpoints for healthcare billing analysis
Design and maintain RESTful APIs with clear, consistent contracts and strong API design principles
Manage and optimize SQL databases (PostgreSQL, MySQL or similar), including schema design, complex queries, indexing, transactions, and query optimization
Build data processing pipelines for healthcare EDI files (835, 837) and other structured data
Develop cloud-native solutions on Google Cloud Platform (GCP), including:
Cloud Run for containerized deployments
Cloud SQL for managed databases
Cloud Storage for object storage
Cloud Functions, Pub/Sub and related services for pipelines and messaging
Implement authentication and authorization (JWT, OAuth2) and security best practices across services
Contribute to DevOps practices, CI/CD pipelines and deployment automation (Docker, Terraform or similar)
Set up and improve logging, monitoring and error tracking, and troubleshoot production issues
Support frontend components with Next.js and React when needed (not the primary focus)
Collaborate on Golang-based projects such as parsers, system tools or desktop utilities
Maintain and enhance desktop applications built with Fyne (Windows and macOS)
Optimize API response times and overall system performance
Write clean, maintainable and well-documented code with strong unit and integration test coverage (pytest, etc.)
Participate in code reviews, architectural discussions and continuous improvement of our systems
2–4 years of professional software development experience (3+ years of backend-focused experience strongly preferred)
Strong proficiency in Python with FastAPI and/or Flask
Proven track record of building and deploying production-grade backend systems
Solid SQL expertise and experience with relational databases such as PostgreSQL or MySQL
Understanding of database indexing, transactions and performance optimization
Hands-on experience with Google Cloud Platform, ideally including:
Cloud Run
Cloud SQL
Cloud Storage
Pub/Sub or similar services
Familiarity with GCP networking and IAM concepts
Experience with ORMs (for example SQLAlchemy)
Understanding of API authentication and authorization patterns (JWT, OAuth2)
Knowledge of containerization and deployment best practices with Docker
Familiarity with DevOps practices including CI/CD, deployment and monitoring
Basic or intermediate knowledge of Next.js and React.js
Comfortable with Git and collaborative development workflows
Proficiency in Golang for backend services, parsers or system tools
Experience with the Fyne framework for desktop apps on Windows and macOS
Prior work with EDI file parsing, data pipelines or automation in healthcare or fintech
Experience with healthcare data standards such as HL7, EDI and FHIR
Knowledge of data warehouse solutions such as BigQuery or similar tools
Experience with message queues such as Pub/Sub, RabbitMQ or Redis
Familiarity with WebSocket implementations for real-time features
Knowledge of caching strategies (Redis, Memcached or similar)
Experience with API documentation tools such as OpenAPI/Swagger
Experience with CI/CD pipelines and infrastructure as code (Terraform or similar)
Experience with data processing libraries such as Pandas and NumPy
Data Structures and Algorithms proficiency
Google Cloud Platform certifications (Professional Cloud Architect, Professional Cloud Developer, Associate Cloud Engineer, etc.)
