Senior Full Stack Software Engineer, AI Applications

Intelligent Medical Objects (IMO)

full-time

Posted on: 9/17/2025

Origin: • 🇺🇸 United States • Illinois

✨ AI Apply

💰 $120,000 - $150,000 per year

Senior

AirflowAngularAWSAzureCloudDockerElasticSearchJavaJavaScriptKubernetesMySQLPostgresPythonReactRedisSpringTerraform

About the role

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 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.

4+ years of experience in software development, ideally with exposure to AI-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.