Founding Chief Technology Officer

Description :

- Build scalable, secure, and resilient systems for India's healthcare ecosystem, with special focus on low-bandwidth, multilingual, and low-literacy contexts.

- Leverage and integrate best-in-class AI models (LLM, NLP, probabilistic triage tools, RAG) while ensuring accuracy, safety, and compliance.

- Own infrastructure decisions : cloud platforms, databases, DevOps practices, and data privacy safeguards.

- Lead the end-to-end product lifecycle from prototype to market launch.

- Employ lean, rapid prototyping to deliver and iterate on MVPs in 4-6 months.

- Translate business and patient needs into technical solutions that are simple, usable, and trustworthy

- Build features for AI triage, provider rating systems, patient follow-ups, and integration with telehealth networks.

- Recruit, mentor, and inspire a high-performing technical team across engineering, AI/ML, and product.

- Balance insourcing vs outsourcing for speed and efficiency.

- Foster a culture of innovation, collaboration, and rigorous documentation while keeping patient impact at the centre.

- Collaborate closely with the CEO and leadership team to align technology with business goals.

- Engage with health systems, insurers, and government partners to ensure product readiness for scale.

- Build relationships with leading AI, cloud, and health tech vendors.

- Communicate technology vision to investors, funders, and stakeholders.

Requirements :

- Builder mindset : Thrives in startup environments, ready to roll up sleeves and build with limited resources.

- Vision + Execution : Can articulate long-term vision but is equally comfortable debugging code or prototyping a feature.

- Patient-first mindset : Understands that convenience, trust, and accessibility drive care-seeking behaviour.

- 10+ years in software engineering and technology leadership, ideally with a startup/venture-building track record.

- Proven ability to deliver MVPs in 4-6 month timeframes.

- Prior experience in healthcare strongly preferred.

- Advanced software development and architecture across multiple languages.

- Strong AI/ML background (LLMs, NLP, agentic AI tools).

- Expertise in cloud platforms (AWS, Azure, GCP), DevOps, and database design (SQL/NoSQL).

- Deep understanding of cybersecurity, data privacy, and Indian health data regulations.

- Knowledge of healthcare standards (FHIR, HL7 HIPAA equivalents).

- Ability to build and scale engineering teams.

- Strong cross-functional collaboration and communication.

- Resourceful with budgets and focused on ROI.