RhythmX AI

Healthcare

SeniorAIEngineer

₹25–45L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Healthcare
Problems you'll solve

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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