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# Senior AI Software Engineer

- **Company:** XCURES, INC.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $150,000 - $220,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software Bug Management, Command-Query Responsibility Segregation (Software Development), Information Engineering, Database Design, Object-Oriented Software Development, Software Architecture, Software Engineering, Software Security, Event Driven Architecture, Production Code, Software Performance
- **Published:** November 12, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-ai-software-engineer--08ec0d61-58fb-4159-b5bc-77e6732dd4f3

## About the Role

Software Engineering, Artificial Intelligence (AI), Software Engineering, Healthcare, Artificial Intelligence (AI), Building Systems, Software Architecture, Software Architecture Design, Engineering, Amazon Web Services (AWS), * 6+ years of professional software engineering experience

 * Hands-on experience building AI-powered workflows and software
 * Experience with AWS and GCP
 * Strong proficiency in an object-oriented programming language
 * Deep knowledge of application security and defensive programming standards
 * Experience with database design and scaling
 * Demonstrated experience with software performance and optimization
 * Experience working in a highly regulated industry (e.g., healthcare, finance)
 * Experience with event-driven architecture or CQRS
 * Strong foundation in core computer science fundamentals and algorithmic thinking
 * An agile, systems-level thinker who can diagnose ambiguous problems and drive to a solution using first-principles reasoning
 * Self-directed: able to figure out what a task requires, identify who to loop in for missing details, and execute end to end

Bonus Points:

 * Experience with data science or data engineering work
 * A metrics-driven approach to evaluating your own and your team's output

## Description

* Own software design and architecture, making technical decisions that hold up as we scale
 * Write and ship production code across features and bug fixes, moving quickly without sacrificing quality
 * Identify and clear roadblocks, technical or cross-team, that slow down delivery
 * Partner with stakeholders across teams to land on solutions that serve company priorities, driving initiatives from idea to completion with minimal oversight
 * Champion adoption of AI-forward development workflows across the engineering org, measured by increased velocity and reduced backlog
 * Contribute to new platform and product deliverables as our architecture evolves