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Remote option and Bangalore metro preference raise applicant density despite senior, specialized AI-platform requirements.
Requires AI-platform, backend, and healthcare/HIPAA experience, making cross-industry transfer more limited.
Explicit 8–12 years plus mandatory cloud, microservices, and LLM experience create strict shortlisting filters.
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Lead design and development of scalable, cloud-native AI-powered automation platforms for healthcare operations.
Build and integrate API-driven workflow automation and business process engines using AI and Large Language Models.
Mentor engineering teams and establish best practices while collaborating with leadership and product teams to support rapid business growth.
8–12 years of professional software engineering experience with enterprise SaaS platforms and distributed systems.
Bachelor's or Master's degree in Computer Science, Engineering, or related discipline.
Proficient in Python, Java, Node.js (Go preferred), REST APIs, microservices, PostgreSQL, MongoDB, Redis, and cloud platforms (AWS, Azure, or GCP).
Hands-on experience with AI technologies: Large Language Models, AI workflow automation, prompt engineering, AI agents, Retrieval-Augmented Generation, and platforms like OpenAI or Anthropic.
Experienced technical leader comfortable solving complex business problems with scalable AI and cloud architectures in high-growth or startup environments.
Strong background in healthcare technology, including familiarity with EMR/EHR systems, revenue cycle management, claims/insurance, and HIPAA compliance is preferred.
Capable of driving engineering excellence and ownership while collaborating effectively with executive leadership and cross-functional teams.