Description

We are looking for a highly experienced Python AI Engineer to join our Agile team and architect enterprise-grade Generative AI solutions for healthcare applications.

Key Responsibilities:
Design and develop scalable AI applications using Python, LLMs, and Machine Learning models.
Build enterprise AI solutions with a strong focus on privacy, security, fairness, and responsible AI.
Develop robust API integrations, AI pipelines, and low-code UI/UX solutions for rapid product delivery.
Engineer structured AI outputs in JSON, nested JSON, arrays, and HTML for seamless dashboard integration.
Design prompts and optimize Generative AI models for accurate and reliable business outcomes.
Develop scalable distributed AI systems using TensorFlow, PyTorch, and Hugging Face.
Build and optimize AI pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
Collaborate with product and engineering teams to deliver scalable, resilient, and ethical AI solutions.

Required Skills:
Python
Large Language Models (LLMs) & Prompt Engineering
Generative AI (GPT, DALL·E, and similar models)
Machine Learning & Natural Language Processing (NLP)
TensorFlow / PyTorch
Hugging Face
REST APIs & AI Integrations
JSON, HTML, API Development
AI Pipeline Development & Model Optimization
Distributed Systems Architecture

What You'll Do:
Build innovative healthcare AI applications that solve real-world business challenges.
Architect scalable, enterprise-grade AI platforms.
Deliver actionable AI-driven insights through intuitive dashboards.
Drive innovation while adhering to responsible AI and engineering best practices

Key Skills

Education

Any Graduate