Senior AI Engineer

Gainwell Technologies is seeking an AI and Gen AI Engineer to design, develop, and deploy advanced AI and generative AI solutions across its healthcare technology platforms. The role focuses on integrating and optimizing AI solutions to improve healthcare outcomes and operational efficiency while meeting industry standards.

Responsibilities:

• 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
• 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
• Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices
• AI Research & Innovation – Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness
• Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards
• Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions

Requirements:

• 3+ years of AI/ML engineering experience, including developing, deploying, and optimizing enterprise AI solutions, machine learning models, and large language model (LLM) applications
• Expertise in Generative AI technologies, including LLM fine-tuning, Retrieval-Augmented Generation (RAG), Agentic AI frameworks, LangChain, LangGraph, CrewAI, OpenAI Swarm, vector databases, and graph databases
• Strong software development and data engineering skills, with proficiency in Python, TensorFlow, PyTorch, SQL, big data technologies (Spark, Hadoop), and modern AI frameworks
• Experience deploying scalable AI solutions in cloud environments, including AWS, Azure, or GCP, leveraging MLOps, model optimization, inference efficiency, and production-grade AI architecture
• Technical leadership and solution architecture experience, with the ability to translate business requirements into AI-driven solutions, lead cross-functional teams, engage stakeholders, and build user-facing applications using Streamlit (required) and modern front-end technologies