Data Science AI Engineer, Advisor

Gainwell Technologies LLC•Any city, OH

3d•$126,100 - $180,100•Remote

About The Position

Gainwell Technologies is seeking a highly skilled AI and Generative AI Engineer to design, develop, and deploy advanced AI and Gen AI solutions across healthcare technology platforms. The role builds and optimizes AI technologies, integrates them into existing systems, and supports improved healthcare outcomes and operational efficiency while maintaining compliance with industry standards. The engineer develops machine learning, deep learning, time-series, predictive analytics, natural language processing, image-processing, and multimodal LLM solutions for healthcare applications. The role covers the AI solution lifecycle, from data processing and model training through testing, deployment, integration, performance optimization, and ongoing monitoring in cloud and on-premises environments. It also includes applying MLOps and LLMOps practices, model evaluation, and security guardrails for Gen AI solutions. The position collaborates with software engineers and cross-functional team leads to translate business requirements into feasible AI solutions, integrate models into Gainwell’s technology stack, and identify workflow automation opportunities. It also requires keeping current with AI advancements and ensuring implementations adhere to healthcare regulations, ethical AI principles, and data privacy standards. This is a fully remote opportunity for work from anywhere in the US. The listed annual pay range is $126,100 to $180,100, with the actual base pay potentially varying based on factors including geographic region, internal equity, job-related knowledge, skills, and experience. The application deadline is November 18, 2026.

Requirements

Bachelor’s or master’s degree, or higher, in Computer Science, AI, Data Science, Engineering, or a related field.
At least 6 years of experience in AI/ML engineering, focused on developing and deploying AI solutions.
Experience with multiple LLM fine-tuning techniques.
Experience building Gen AI solutions using RAG architecture.
Proficiency with LangChain and LangGraph.
Experience with agentic AI frameworks and workflows, such as LangChain, LangGraph, CrewAI, or OpenAI Swarm.
Experience with multiple vector databases and graph databases.
Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks.
Experience developing, deploying, and fine-tuning LLMs such as GPT, Gemini, or Claude for real-world applications, including prompt engineering, model optimization, and inference efficiency.
Experience with cloud platforms such as AWS, Azure, or GCP, and MLOps for scalable AI deployments.
Proficiency with big data technologies such as Spark, Hadoop, SQL, and NoSQL databases.
Strong problem-solving skills and the ability to translate business challenges into AI-driven solutions.
Streamlit front-end development skills are required.
Ability to work as a team lead, interface with cross-functional leads, understand business requirements, and translate them into feasible solutions.
Strong interpersonal and architectural skills, and the ability to persuade multiple stakeholders.

Nice To Haves

Knowledge of healthcare AI applications and regulatory compliance, including HIPAA and CMS.
Experience with React, Angular, or Vue.js.

Responsibilities

Design, build, and train machine learning, deep learning, time-series, predictive analytics, natural language processing, image-processing, and multimodal LLM solutions for healthcare applications.
Develop, test, and deploy AI solutions in cloud and on-premises environments, with attention to reliability, scalability, and real-world impact.
Process large healthcare datasets, including preprocessing, feature engineering, and model training, while ensuring compliance with HIPAA and other regulatory standards.
Develop APIs and integrations, and integrate and optimize AI models within Gainwell’s existing technology stack in collaboration with software engineers.
Apply MLOps and LLMOps practices, evaluate models, and continuously monitor ML/DL and LLM performance.
Apply security measures and guardrails to Gen AI solutions.
Monitor, refine, and optimize AI and Gen AI models for accuracy, efficiency, and speed.
Research current AI, ML, and Gen AI advancements and explore technologies and methods to improve solution effectiveness.
Ensure AI implementations follow healthcare regulations, ethical AI principles, and data privacy standards.
Identify opportunities to automate workflows and improve business processes using AI-driven solutions.
Work as a team lead and coordinate with leads in other functions or departments; understand business requirements and translate them into feasible solutions for development and deployment.