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Gainwell Technologies

Senior AI Engineer

Gainwell Technologies

. Design, build, and train machine learning, deep learning, time series, Gen AI, predictive analytics, Natural Language Processing, and Image Processing solutions for healthcare applications .

Posted 10/22/2026full-timeRemote • Texas • United StatesSenior💰 $117,800 - $168,300 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing and deploying AI solutions, particularly in healthcare applications, while ensuring compliance with regulations and ethical standards. Proficient in leveraging advanced machine learning techniques and technologies to optimize workflows and enhance business processes.

Highest-signal resume keywords
AI/ML Engineering ExperienceGenerative AI TechnologiesProficiency in PythonMLOps and Model OptimizationTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningDeep LearningNatural Language ProcessingImage ProcessingData PreprocessingFeature EngineeringModel TrainingAPI DevelopmentModel EvaluationUser-Facing Application Development
Soft Skills
Cross-Functional Team LeadershipStakeholder EngagementBusiness Requirement Translation
Tools & Technologies
TensorFlowPyTorchSQLSparkHadoopAWSAzureGCPStreamlitVector Databases
Industry Keywords
Healthcare ApplicationsHIPAA ComplianceEthical AI PrinciplesAI-Driven SolutionsGenerative AI

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformHadoopPythonPyTorchRuby on RailsSparkSQLTensorflow

About the role

Key responsibilities & impact
  • Design, build, and train machine learning, deep learning, time series, Gen AI, predictive analytics, Natural Language Processing, and Image Processing solutions for healthcare applications
  • Develop, test, and deploy AI solutions in cloud and on-premises environments
  • Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring HIPAA and other regulatory compliance
  • Develop APIs and integrations
  • Implement and optimize AI models within Gainwell’s existing technology stack
  • Collaborate with software engineers to ensure seamless integration
  • Apply ML Ops and LLM Ops practices, evaluate models, and continuously monitor ML/DL and LLM performance
  • Apply security measures in Gen AI solutions and implement guard rails
  • Monitor, refine, and optimize AI/Gen AI models for accuracy, efficiency, and speed
  • Stay updated with AI/ML/Gen AI advancements and explore new technologies and methodologies
  • Ensure AI implementations adhere to healthcare regulations, ethical AI principles, and data privacy standards
  • Identify opportunities to automate workflows and optimize business processes using AI-driven solutions

Requirements

What you’ll need
  • 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
  • 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
  • Experience with MLOps, model optimization, inference efficiency, and production-grade AI architecture
  • Technical leadership and solution architecture experience
  • Ability to translate business requirements into AI-driven solutions
  • Ability to lead cross-functional teams and engage stakeholders
  • Experience building user-facing applications using Streamlit (required) and modern front-end technologies
  • Video cameras must be used during all interviews and during the initial week of orientation

Benefits

Comp & perks
  • Work flexibility
  • Learning and career development
  • Technical credentials and certifications
  • Generous, flexible vacation policy
  • Educational assistance
  • Leadership and technical development academies
  • Occasional travel opportunities (0-10%)
  • 401(k) employer match
  • Comprehensive health benefits