Senior AI Engineer

About the role

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.

Responsibilities

• Design, build, and train machine learning, deep learning, time series models, Gen AI (multi-modal LLMs), predictive analytics, Natural Language Processing, and Image Processing solutions for healthcare applications.
• Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact.
• Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.
• Implement and optimize AI models within Gainwell’s existing technology stack, collaborating with software engineers to ensure seamless integration; skilled in API development and integrations.
• Apply MLOps and LLMOps practices, including model evaluation and continuous performance monitoring of both ML/DL and LLMs.
• Apply security measures in Gen AI solutions, implementing guardrails.
• Continuously monitor, refine, and optimize AI/Gen AI models for accuracy, efficiency, and speed, leveraging MLOps and LLMOps best practices.
• Stay updated with the latest AI/ML/Gen AI advancements, exploring new technologies and methodologies to enhance solution effectiveness.
• Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.
• 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 (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.

Benefits

• Generous, flexible vacation policy
• 401(k) employer match
• Comprehensive health benefits
• Educational assistance
• Leadership and technical development academies
• Work flexibility, learning, and career development opportunities

Pay

$117,800.00 – $168,300.00 per year (base pay may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience).

Schedule

• Fully remote — work from anywhere in the U.S.
• Minimal travel required (0–10%)