Software Engineer Intern

Open Hearing is disrupting hearing health with an AI-native healthcare stack that cuts across the entire value chain, from first symptom to lifelong device support. Hearing loss is one of the largest untreated conditions globally, and the infrastructure behind it is decades out of date. Today, hearing care runs on legacy desktop software, paper workflows, and devices that barely talk to each other. Stakeholders are disjoint, data is siloed, and as a result, tens of millions of people who need help never get it.

Our goal is to make hearing accessible by developing the operating system for hearing care. Making hearing accessible means solving for awareness, access to care, and affordability. People today often wait for months because of a shortage of providers, and we are here to ensure everyone gets access to the care they need and deserve.

We're rebuilding the stack from the ground up as a modern, AI-native, interoperable hearing care platform: distributed, fault-tolerant services that can handle millions of requests, autoscale with demand, and coordinate through a unified data layer. That data layer powers high-scale analytics, real-time decisioning, and ML/LLM workloads, forming the core infrastructure for the industry's new operating system.

Open Hearing was founded by Harvard MBAs(Raghav and Kenneth) with firsthand experience building and scaling B2B and B2C unicorns in India. We're backed by some of the most prominent names in U.S. hearing care, including the most successful software founder in the category (built, scaled, and exited a leading platform) and the president of one of the world's largest professional organizations for hearing healthcare professionals.

Now, we arebuilding our founding India engineering team ( in Bangalore)

• Core tech and platform layer: distributed, fault-tolerant services, event-driven workflows, and APIs that tie the ecosystem together
• ML and data platforms: pipelines, feature stores, and real-time decision systems that power triage, routing, and personalization
• AI agents and workflow copilots: LLM-powered assistants embedded in clinician and operations tools
• Product surfaces (web and mobile): intuitive, high-leverage tools for clinicians, staff, and patients
• Integrations: connecting hearing devices, diagnostic equipment, and clinic systems into a single interoperable platform
• Shape our engineering culture, best practices, and roadmap

This is not a back-office or maintenance team. Our engineers in Bangalore are part of the core product and platform team, with a direct fast path to technical leadership. You'll regularly travel to our U.S. headquarters in San Franciscowith expenses and a fully sponsored visato visit customers, see your product working in the real world, and collaborate with our U.S. team on decisions that further improve and refine it.

We're looking for someone who thrives in early-stage environments with very strong fundamentals, cares deeply about impact, and builds with both speed and intention.

Must-haves:

• Strong proficiency in Java/C/Python/C++
• Proactive, autonomous and eager to learn
• Experience with databases, building REST API's

Preferred:

• Experience building AI-native applications
• Strong understanding of Next.js and Java with Spring boot
• Understanding of genAI orchestration, evaluation frameworks, and RAG pipelines
• Familiarity with tools like LangChain or n8n
• Exposure to transcription, medical documentation, or clinical workflows
  

• Real-world impact - your work will directly improve access to hearing care
• Fast-moving team - work directly with seasoned founders and advisors.
• Mission-driven - we're here to help people hear again, not just build software
  

• Frontend: Next js
• Backend: TypeScript, Java
• Infra: AWS(EC2, ECS, Lambda, S3, RDS, Lambda, SageMaker,..)
• Others: livekit, Dify
  

We're not here to build just another SaaS tool. We're reimagining care for a population that has long been ignored. This work is messy, rewarding, and urgent.

If you care deeply about people, love building from scratch, and are obsessed with using AI for meaningful change-we want to work with you.

Let's make hearing accessible-together.