TELECOMMUTE Healthcare Technical .Net Full Stack Lead

American IT Systems
United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

ASP.NET HTML JavaScript (Programming Language) .NET Framework Artificial Intelligence Amazon Web Services Software Applications Computer Vision Microsoft Azure C Sharp (Programming Language) Cloud Computing Computer Programming
+38 more
Databases Data Cleansing Information Engineering Database Applications Design of User Interfaces Apache Hadoop Health Information Technology JQuery Python (Programming Language) Machine Learning Microsoft SQL Server Model View Controller (MVC) Natural Language Processing NoSQL Oracle (Applications) Performance Tuning Systems Development Life Cycle Tensorflow Software Engineering PL-SQL SQL Databases Systems Integration Web Applications Google Cloud Feature Engineering .NET Core Pytorch Blazor Large Language Models Prompt Engineering Apache Spark Deep Learning Data Management Machine Learning Operations Software Coding GPT Service Stack Web Api

Job description

Discover career satisfaction by design in this challenging position, where you will: Head up technical teams and workstreams as you design, develop, test and install complex database applications software with server, client and web components Keep the team on the same page by overseeing relationships between application architects and developers to ensure design requirements result in flexible, reusable system components Create more satisfied clients by writing highly complex design, coding and testing documentation that yields purpose-built technical products that meet real needs Shine as an SME in the areas of development, domain, application design and database methodologies and best practices Show your know-how as you provide clients with technical consulting on highly complex projects by refining existing apps and designing new application modules and components Exercise your expertise by mentoring and guiding less experienced application designers Lead and mentor a team of technical professionals to deliver high-quality solutions Oversee end-to-end software development lifecycle (SDLC), ensuring adherence to best practices and timelines Manage change control processes and ensure smooth implementation of system updates. Collaborate with cross-functional teams to gather requirements, define solutions, and ensure alignment with business objectives Conduct critical analysis and problem-solving to address complex technical and functional challenges. Drive continuous improvement in release cadence and operational efficiency. Contribute to strategic planning and roadmap development for technical initiatives. Strengthen our capabilities as you design, develop, install, test and document applications software including server, client and web components Play a vital role in designing, documenting and delivering technical architecture solution elements Support coordination between application architects and developers to make sure design requirements are accurate and deliver the desired ROI for clients Define and develop project requirements, functional specifications and detailed application solution designs for clients Focus on the details as you develop technical documentation and test plans to support integration and deployment Advance key goals and objectives for Gainwell and our clients by working closely with software developers, 9+ years of experience in application and user interface development, programming, and AI using Microsoft .NET technologies: C#, ASP.NET, and .NET Core Blazor SQL/PL SQL with Oracle and SQL Server MVC and Web API HTML, JavaScript and jQuery Healthcare IT systems with specific Membership domain experience o What you should expect in this role AI Model Development Design, build, and train machine learning and deep o learning models, including GenAI, NLP, and predictive analytics solutions for o healthcare applications. End-to-End AI Solution Deployment Develop, test, and deploy AI solutions in cloud o and on-premise environments, ensuring reliability, scalability, and real-world o impact. Data Engineering & Processing Work with large healthcare datasets, performing o data preprocessing, feature engineering, and model training while ensuring o compliance with HIPAA and other regulatory standards. System Integration Implement and optimize AI models within Gainwell s existing o technology stack, collaborating with software engineers to ensure seamless o integration. Performance Optimization Continuously monitor, refine, and optimize AI models o for accuracy, efficiency, and speed, leveraging MLOps best practices. AI Research & Innovation Stay updated with the latest AI/ML advancements, o exploring new technologies and methodologies to enhance solution effectiveness. Compliance & Security Ensure AI implementations adhere to healthcare industry o regulations, ethical AI principles, and data privacy standards. Automation & Workflow Enhancement Identify opportunities to automate o workflows and optimize business processes using AI-driven solutions. Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or

Requirements

o similar) for real world applications including prompt engineering, model o optimization and inference efficiency. Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. Strong problem-solving skills with the ability to translate business challenges into o AI-driven solutions. o What we’re looking for 9+ years of experience in Application Development, programming and AI, Extensive AI/ML Experience: 5+ years in AI/ML engineering, including hands-on o work with GenAI, NLP, deep learning, and computer vision. Technical Proficiency: Strong coding skills in Python and frameworks like o TensorFlow and PyTorch; experienced with LLMs (GPT, Gemini, Claude) including o prompt engineering and optimization. Scalable Deployment Skills: Familiar with cloud platforms (AWS, Azure, Google Cloud Platform), o MLOps practices, and big data tools (Spark, Hadoop, SQL/NoSQL). Domain Knowledge: Strong problem-solving abilities with a plus for experience in healthcare AI and understanding of regulatory standards like HIPAA and CMS.

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