Software Engineer

About the Company: Reya is a healthcare technology company headquartered in San Francisco with Research, Design and Engineering at Bangalore. The Bangalore company Curatech Private Limited is a wholly owned subsidiary of Reya Health Inc, USA. Reya Health Inc is a USA-based AI healthcare technology company with operations in USA, India and UAE. The Reya management team has many years of experience growing multiple successful entrepreneurial ventures from Silicon Valley. Reya, through its extensive real world field deployments, has collected proprietary medical knowledge datasets that are digital, structured and hierarchical in nature to enable highly relevant fine tuning and training of LLMs. These tuned LLMs are combined with several tools such as user collaboration and communication tools that operationalize supervised AI workflows to deliver breakthrough business outcomes. Eligibility: 2025 batch BE/ BTech/(CS/IT/Electronics related)/MCA Good academic record pH score Mandatory Click here to know - What is the eLitmus pH test? Job descrption: Strong fundamentals of computer science Ability to learn quickly and adapt to new technologies and projects Strong analytical and problem-solving skills to identify and resolve software issues Note : Company spends considerable effort in training new employees through direct mentoring by senior folks. Candidates willing to commit to 24 months of continued employment need only apply.

Reya is a healthcare technology company headquartered in San Francisco with Research, Design and Engineering at Bangalore. The Bangalore company Curatech Private Limited is a wholly owned subsidiary of Reya Health Inc, USA. Reya Health Inc is a USA-based AI healthcare technology company with operations in USA, India and UAE. The Reya management team has many years of experience growing multiple successful entrepreneurial ventures from Silicon Valley. Reya, through its extensive real world field deployments, has collected proprietary medical knowledge datasets that are digital, structured and hierarchical in nature to enable highly relevant fine tuning and training of LLMs. These tuned LLMs are combined with several tools such as user collaboration and communication tools that operationalize supervised AI workflows to deliver breakthrough business outcomes.