Sr. Full Stack Software Engineer, AI Applications Job at IMO Health, West Virginia

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  • IMO Health
  • West Virginia

Job Description

Job Description

Job Description

At IMO Health, we combine expertise in software development, data science, and healthcare to create AI-powered solutions that improve access to high-quality health information. We are looking for a  Senior Full-Stack Software Engineer, AI Applications to design and deliver innovative applications that enhance patient care and life sciences research. 

In this role, you will build and optimize scalable, AI-driven software solutions, ensuring performance, security, and reliability. You’ll collaborate in an agile environment, contribute to technical decisions, and solve complex challenges while integrating cutting-edge AI and cloud technologies. 

WHAT YOU’LL DO:
  • Develop and enhance AI-powered applications that support healthcare and life sciences innovation. 
  • Ensure applications meet performance, scalability, and security standards, troubleshooting issues as needed. 
  • Integrate AI/ML technologies, including Natural Language Processing (NLP), Large Language Models (LLMs) and vector databases, into software solutions. 
  • Collaborate in an agile environment with cross-functional teams to align technical solutions with business needs. 
  • Participate in architectural and design discussions, providing input to ensure scalable, reliable, and secure solutions. 
  • Write clean, testable, and maintainable code following CI/CD and DevOps best practices. 
  • Contribute to automation efforts across testing, integration, and deployment pipelines. 
  • Share knowledge with peers and provide informal mentorship to junior engineers. 
  • Proactively identify opportunities for improving system performance and addressing technical debt. 
WHAT YOU’LL NEED:
  • 4+ years of experience in software development, ideally with exposure to AI/NLP-based applications. 
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or a related field. 
  • Proficiency in Java, Python, and JavaScript, with experience in frameworks such as Spring (IOC, Security, Boot) and frontend frameworks like React or Angular. 
  • Hands-on experience with cloud platforms (AWS/Azure), containerization (Docker, Kubernetes), and Infrastructure-as-Code (Terraform). 
  • Strong knowledge of relational databases (MySQL/PostgreSQL), performance optimization, and indexing strategies. 
  • Experience with Redis and Elasticsearch, including use in high-performance systems. 
  • Familiarity with AI/ML applications, including LLM integration and prompt engineering. 
  • Understanding of modern security practices, such as JWT and Zero Trust principles. 
  • Exposure to service governance (e.g., Sentinel, Seata) and feature flag tools (e.g., LaunchDarkly) is a plus. 
  • Strong problem-solving skills with the ability to balance technical quality and delivery needs. 
  • Collaborative mindset with the ability to work across teams and contribute to a culture of continuous learning. 
NICE TO HAVE:
  • Experience in healthcare, clinical data, or life sciences NLP use cases. 
  • Exposure to MLOps tools (e.g., SageMaker, Airflow, CI/CD workflows). 
  • Experience with cloud platforms (AWS, Azure). 
  • Contributions to open-source or academic research. 

Compensation at IMO Health is determined by job level, role requirements, and each candidate’s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses, equity, or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process. IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health’s Careers Page. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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