Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Metro role with mid-level general title, broad skillset, and recognizable healthtech brand increases applicant competition.
Requires ML/LLM expertise plus healthcare PHI/regulatory knowledge, reducing cross-industry transferability.
Multiple explicit years, mandatory tech/LLM experience, and healthcare/regulatory requirements make shortlisting highly strict.
Lead development of Growth Data Platform by operationalizing ML models into real-time AI-powered decisioning systems.
Deliver and maintain large scale software projects using Node.js/TypeScript and AI frameworks, focusing on observability, data trust, and AI workflow orchestration.
Drive software architecture, tooling improvements, and mentor junior engineers in a hybrid Bengaluru and US timezone collaboration model.
Bachelor’s degree in Computer Science, Engineering, or related technical field.
5+ years of professional software development experience, with 3+ years in Node.js/TypeScript.
1+ year hands-on experience with LLM applications including prompt engineering and model integration (OpenAI, Anthropic, AWS Bedrock).
Experience with AI orchestration frameworks (LangGraph, LangChain) and familiarity with AI observability platforms (LangSmith) and responsible AI practices in regulated environments.
Experienced in building and scaling AI-native data platforms integrating machine learning outputs into operational pipelines.
Strong capability to deliver complex projects balancing short- and long-term trade-offs, with hands-on involvement in AI workflow orchestration and observability.
Comfortable working in a hybrid role based in Bengaluru with overlapping work hours aligned to US Pacific Timezone for cross-continental collaboration.