Get Well (GW RhythmX) is seeking a highly experienced and innovative Staff AI Engineer to lead the architecture, development, and optimization of cutting-edge AI solutions across the organization’s healthcare platform. This role requires deep technical expertise in large language models (LLMs), multimodal AI systems, agentic frameworks, and voice technologies—including STT (speech-to-text) and TTS (text-to-speech).
As a Staff-level technical leader, you will guide the AI engineering lifecycle from conceptualization to deployment at scale while serving as a key cross-functional partner to product, engineering, and clinical teams. This is a high-impact, hands-on role for a forward-thinking AI expert with a solid understanding of emerging agentic systems and best practices in safety, observability, and machine learning operations in regulated environments.
Responsibilities
Healthcare-Focused AI System Design & Development
- Architect and develop production-ready AI models trained on real-world clinical datasets sourced from hospital systems, EHRs,
and patient engagement platforms.
- Partner with clinical informatics and product teams to derive insights from structured and unstructured health data, including FHIR, HL7, CCDA, and EHR notes.
- Design and train speech-to-text (STT) and text-to-speech (TTS) models to power voice-enabled AI applications and virtual assistants in a healthcare setting.
- Integrate and optimize agentic systems using frameworks such as LangChain, LangGraph, or CrewAI for autonomous decision-making and workflow automation.
- Drive the end-to-end development lifecycle—from data prep and model training to evaluation, deployment, and monitoring—ensuring responsiveness and efficiency in high-impact healthcare settings.
- Evaluate and incorporate emerging AI technologies and architectural tools to improve intelligence, personalization, and user experience.
Infrastructure Optimization & MLOps
- Lead the model lifecycle from ingestion
📌 Staff AI Engineer (Bengaluru)
🏢 Get Well Network
📍 Bengaluru
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