Lead Data Science AI Engineer

Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards.

Your role in our mission

• Development based on AI/ GEN AI- Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications.
• Experienced in multiple LLM fine tuning techniques.
• Experienced in building GEN AI solutions using RAG architecture.
• Skilled in both Lang Chain and Lang Graph.
• Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm.
• Experienced in multiple Vector Databases as well as Graph Database
• Skilled in Agentic AI Framework and has built at least one solution using Agentic AI.
• End-to-End AI Solution Deployment - Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact.
• Data Processing - Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.
• System Integration - Skilled in API development and integrations. Implement and optimize AI models within Gain well’s existing technology stack, collaborating with software engineers to ensure seamless integration.
• Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails.

• Bachelor or Master’s or higher in Computer Science, AI, Data Science, Engineering or a related field.
• 2 plus to around 15 years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.
• Hands-on expertise in machine learning, deep learning, Gen AI (multi modal LLMs), NLP, and computer vision.
• Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks.
• Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency.
• Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments.
• Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases).
• Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.
• Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus.

Understanding of business use cases, strong interpersonal skills, architecting skills and abilities to convince multiple stakeholders