RhythmX AI
Healthcare
SeniorAIEngineer
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“Senior AI Engineer at RhythmX AI. Skills: Machine learning, LLMs, Generative AI, MLOps. Fine-tune SLMs / LLMs. Develop ML models”
What You'll Achieve.
Improve outcomes in healthcare
Industry & Context.
Problem-solving; Quantitative reasoning
What They're Looking For.
Must Have
Bachelor's or Master's degree, 6+ years AI/ML experience, 2+ years GenAI, NLP/NLU, LLMs, Software development healthcare experience, Provider space experience, EHR or clinical data exposure, Develop AI algorithms healthcare data, Integrate AI into production
Nice to Have
Voice-enabled products experience
What You'll Do.
Fine-tune SLMs / LLMs
Build multimodal AI systems
Integrate STT and TTS models
Customize foundation models
Develop AI algorithms
Guide AI through lifecycle
Lead model deployment
Implement monitoring pipelines
Ensure AI scalability
Provide technical guidance
Conduct design reviews
Drive best practices adoption
Lead evaluation of research
Contribute to architectural decisions
Process healthcare datasets
Design synthetic data generation
Ensure HIPAA compliance
Ensure GDPR compliance
Engineer healthcare data pipelines
Lead evaluation strategies
Mitigate algorithmic bias
Conduct adversarial testing
Translate stakeholder needs
Collaborate with clinical experts
Participate in Agile processes
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Product collaboration; Engineering collaboration; Data science collaboration; Clinical experts collaboration; Agile processes
Communication Scope
Tailor technical concepts
Process & Methodology
Agile processes, Sprint planning, Technical retrospectives
Full Job Description
Opportunity GW RhythmX is seeking a talented and innovative Senior AI Engineer to lead the development and deployment of advanced AI solutions within a mission-driven healthcare environment. This role is ideal for a seasoned professional with hands-on experience in machine learning (ML), large language models (LLMs), and generative AI (GenAI), with a strong focus on productionizing scalable and reliable models. As a Senior AI Engineer, you will drive end-to-end AI development—from ideation and training data pipelines to model deployment and continuous improvement—while addressing unique healthcare data challenges. You’ll collaborate across functions including product, engineering, data science, and clinical experts to deliver high-impact AI applications, including voice assistants and multimodal systems tailored to real-world care settings. Responsibilities AI Model Development & Customization Fine-tune SLMs / LLMs and develop ML models for healthcare-specific use cases. Build multimodal AI systems that integrate text, structured medical data, and images. Optimize models for accuracy, latency, and resource efficiency in production settings. Evaluate and integrate speech-to-text (STT) and text-to-speech (TTS) models into conversational interfaces. Customize foundation models using domain adaptation and prompt engineering techniques (e.g., PEFT, LoRA). Develop AI algorithms from healthcare data and guide them through a full production lifecycle into deployed solutions. Productionization & Deployment Lead model deployment end-to-end with cloud-native tools and infrastructure (Azure ML). Implement model performance monitoring, drift detection, and auto-retraining pipelines. Ensure AI solutions are scalable, reliable, and aligned with security and compliance requirements in healthcare environments. Technical Leadership Provide technical guidance to junior AI engineers. Conduct design reviews and drive the adoption of best practices in model reproducibility, validation, a
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