AI Engineer

📋 Description

• Fine-tune and evaluate LLMs for healthcare use cases.
• Build multimodal AI systems with text, data, and images.
• Optimize models for accuracy, latency, and efficiency in production.
• Integrate STT and TTS into conversational interfaces.
• Customize foundation models with domain adaptation and PEFT/LoRA.
• Develop production-ready AI algorithms using healthcare data.

🎯 Requirements

• Bachelor's or Master's in CS/ML or related field.
• 2+ years of end-to-end AI/ML development.
• Healthcare provider-space software experience with EHR data.
• Productionize AI models and pipelines.
• Experience with voice assistants or conversational AI (preferred).
• Proficient in Python and ML frameworks (PyTorch or TensorFlow).

🎁 Benefits

• Work on cutting-edge GenAI in healthcare.
• Collaborative teams across engineering, data, clinical, and product.
• Impactful healthcare outcomes and patient care.
• Equal opportunity employer with inclusive culture.
• Ongoing learning and career growth opportunities.