Senior AI/ML Developer

About the Role We are seeking a highly skilled Senior AI/ML Developer to design, architect, and deliver enterprise-grade Generative AI solutions, with a strong focus on healthcare use cases. The ideal candidate will combine deep technical expertise in machine learning, large language models (LLMs), and software engineering to build scalable, secure, and responsible AI systems. What You'll Do

• Design and develop scalable AI/ML solutions using LLMs and other machine learning models.
• Architect and implement Generative AI systems that are scalable, resilient, and aligned with ethical AI practices.
• Serve as a Subject Matter Expert (SME) for Generative AI, partnering with Product and Engineering teams.
• Develop and maintain end-to-end AI pipelines, including: Data preprocessing; Feature engineering; Model training and evaluation.
• Build extensible APIs and integrations to connect AI models with enterprise systems.
• Develop low-code/no-code UI/UX solutions for rapid delivery cycles.
• Design structured outputs (JSON, arrays, HTML) with nested nodes for frontend/dashboard consumption.
• Implement solutions integrating LLMs (e.g., GPT models) to extract insights and deliver actionable data.
• Architect and deploy solutions on cloud platforms such as AWS, Azure, or GCP.
• Build and maintain distributed, scalable systems for AI workloads.
• Optimize models and systems for performance, scalability, and efficiency.
• Optimize generative AI models for improved accuracy and response quality; develop prompt engineering strategies.
• Explore use cases like Retrieval-Augmented Generation (RAG), conversational systems, summarization, and translation.
• Design solutions aligned with Responsible AI principles: fairness, transparency, security, accountability; ensure privacy/compliance in healthcare environments.
• Collaborate with cross-functional teams; translate business problems into AI-driven solutions; create clear documentation (technical specs, architecture diagrams, user guides). What We're Looking For
• Proven experience delivering at least one large-scale Generative AI solution.
• Strong hands-on experience with Machine Learning & AI (NLP and Generative AI).
• Frameworks: TensorFlow, PyTorch; Open-source platforms: Hugging Face.
• Experience with LLMs (GPT family, DALL·E, or similar).
• Data pipelines and ML lifecycle management.
• Strong software engineering skills for deploying AI into production environments.
• Experience building APIs, system integrations, and scalable architectures.
• Solid understanding of distributed systems design.
• Technical Skills: Python (preferred), SQL; Cloud: AWS, Azure, GCP; Data formats: JSON, HTML; Version control: Git. Nice to Have
• Experience in healthcare domain or regulated environments.
• Hands-on experience with RAG architectures and AI-powered dashboards/visualization tools.
• Familiarity with CI/CD and DevOps practices.
• Experience designing enterprise-grade, production-ready AI systems. Compensation & Benefits
• Not disclosed