Senior AI Engineer

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Overview

At N1.Healthcare , we are transforming how individuals understand and manage their health. Our AI-powered medical reports combine the latest in artificial intelligence and data science to deliver personalized, accessible, and meaningful health insights. We are looking for a skilled AI Engineer to join our fast-growing team and help drive the development of intelligent, healthcare-focused systems—from advanced diagnostic insights to real-time health analytics.

This role is not just about coding models; it’s about solving tough, meaningful problems that make a real difference. If you enjoy working with complex data, love building things from the ground up, and want to see your work have a real impact, this role is for you.

Responsibilities

• Work with real-world health data : Build AI models that make sense of messy, incomplete, and unstructured medical data and turn it into clear, useful insights for individuals.
• Build powerful LLM tools : Create systems that read and understand medical reports, summarize them for users, and detect key health patterns.
• Make personalization real : Use AI to deliver the right health advice to the right person at the right time—not just generic answers.
• Develop smart, automated systems : Build tools that can guide users through their health journey—from symptom checking to follow-up recommendations—with minimal human input.
• Take ideas to production : See your models go live and make an impact, using tools that help scale AI in real-world settings.
• Handle scale and speed : Design systems that work fast, reliably, and securely even with large volumes of sensitive health data.
• Explore cutting-edge AI : Use the latest in generative AI, transformers, and explainable models to create smarter, more human experiences.
• Ensure fairness and trust : Ensure the AI we build is clear, unbiased, and trustworthy. In health, people need to feel safe and understood.
• Take ownership : Be trusted to lead, try new ideas, and drive things forward.
• Advanced Modeling : Develop and deploy deep learning, reinforcement learning, and graph neural networks for predictive analytics, automated strategies, and decision-making systems.
• Vector Search and Semantic Retrieval : Build systems using vector databases to enable real-time, context-aware data retrieval.
• Agentic Systems : Design autonomous and multi-agent systems for dynamic decision-making and complex task management.
• Generative AI : Explore and integrate the latest generative AI models and techniques into applications to improve user experience and content generation.
• Fine-tuning : Utilise techniques like LoRA, PEFT to fine-tune models for complex medical data; build adapter weights for models for specialised agents.
• Optimization : Use hyperparameter tuning tools to maximize model performance.
• Bias Mitigation & Evaluation : Detect and reduce biases in datasets and models; develop robust evaluation frameworks for fairness, reliability, and clinical safety.
• Knowledge Augmentation & Data Standardization : Enrich LLMs with up-to-date medical research and contribute to data interoperability standards.
• Scalability, Security & Observability : Develop AI systems that scale to thousands of users while maintaining security and observability to protect data and monitor model integrity.

Qualifications

Technical Skills

Soft Skills

Preferred Qualifications

Why Join N1.Healthcare?

Join a team that's redefining how people access, understand, and improve their health through the power of AI.

Note : This posting has been refined to remove unrelated postings and extraneous content while preserving the responsibilities and qualifications.

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