Backend Engineer

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. You'll 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.

Requirements

• 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
• Build data access layers and connect to databases, vector stores, and external APIs
• Collaborate with frontend engineers to define data contracts and enable seamless UI integration
• Develop infrastructure for task orchestration, agent state tracking, and output management
• Contribute to DevOps efforts (e.g., CI / CD pipelines, deployment scripts, logging / monitoring)
• Optimize backend systems for performance, modularity, and reuse across Lab projects
• Support rapid prototyping and contribute to turning MVPs into stable, reusable assets
• Participate in roadmap planning, design sessions, and prioritization of Lab initiatives

Desired Qualifications

Please note that while you do not need to be an expert in every area, being familiar with most of the following is important. We are looking for someone who can effectively integrate everything, with team support to fill any gaps.

Programming & Backend Skills

Data & Event Processing (Optional but valuable)

Experience with :

Tooling & Environment

How you will enrich us?

Benefits

What do you get in return?

Next Steps