Job description

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary 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. • 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. What we're looking for • 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. What you should expect in this role • Fully Remote Opportunity – Work from anywhere in the U.S. • Minimal Travel Required – Occasional travel opportunities (0-10%). • Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment. • Video cameras must be used during all interviews, as well as during the initial week of orientation The deadline to submit applications for this posting is November 1, 2026. The pay range for this position is $117,800.00 - $168,300.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You’ll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits , and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You’ll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines “wages” and “wage rates” to include “all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.

Requirements

Must-haves

Your role in our mission
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.
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.
What you should expect in this role
Fully Remote Opportunity – Work from anywhere in the U.S.
Minimal Travel Required – Occasional travel opportunities (0-10%).
Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.
Video cameras must be used during all interviews, as well as during the initial week of orientation
The deadline to submit applications for this posting is November 1, 2026.

Nice-to-haves

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Keywords to mirror

aimachine learningapimlllmpythonsqlawsazuregcp

Platform: successfactors
Effort: medium

Benefits

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401(K)