Backend Engineer Reveal Health Tech
Reveal Health Tech
Office Location
Full Time
Experience: 0 - 2 years required
Pay: INR 1 - INR 10001 /Month
Type: Full Time
Location: Bengaluru
Skills: Backend, Networking, GCP, xml, MySQL, Healthcare, Life sciences, Engineering Design
About Reveal Health Tech
Job Description
Thank you for considering the Backend Engineer position at Reveal Health Tech. We are an early-stage IT startup based in the US and India, focused on leveraging technology to deliver transformative healthcare solutions.
About the Applied AI Lab
The Applied AI Lab is an internal R&D team at Reveal dedicated to identifying high-impact problems in healthcare, life sciences, and adjacent verticals and transforming those insights into repeatable AI solutions.
We operate as a nimble product studio within the company: researching emerging technologies, rapidly prototyping AI and ML-powered tools, and building foundational infrastructure to support long-term product plays. Our output ranges from sandbox-ready MVPs to reusable components and SaaS-aligned platforms. Our team is multi-disciplinary engineering, design, research, and business and we work closely with client-facing and go-to-market teams to validate our ideas in the real world.
About the Role
We re looking for a Backend Engineer to join the Applied AI Lab and play a critical role in building robust, scalable, and flexible backend systems that power intelligent products and agentic workflows.
You ll be responsible for developing APIs, integrating ML components, and helping stand up infrastructure that connects user interfaces with AI/ML logic and data services. Youll work closely with ML engineers, frontend developers, and designers to enable end-to-end functionality, rapid iteration, and long-term reliability.
This role is ideal for someone who enjoys wearing multiple hats, thrives in a fast-moving environment, and wants to build backend systems that support real product innovation.
- Design and implement scalable APIs and service layers to support agentic AI workflows and prototypes
- Work closely with ML engineers to integrate models into backend infrastructure and orchestrate inference flows