Sr. AI Developer

AI Developer

Are you interested in harnessing technology and AI to transform healthcare?

At XiFin, we believe a healthier, more efficient healthcare system starts with strong financial and operational foundations. Our innovative technologies help diagnostic providers, laboratories, and healthcare systems manage complexity, drive better outcomes, and stay focused on what matters most: patient care.

We're on a mission to simplify the business side of healthcare—and we know that mission takes people from all backgrounds and experiences. Whether you're early in your career or bringing years of expertise, we welcome your perspective, your curiosity, and your passion. We value individuals who ask questions, challenge the status quo, and want to grow while making a real difference.

As an AI Developer, you'll design and build AI-powered solutions that improve how software is developed, tested, and delivered across XiFin. You'll work closely with Engineering, QA, and Dev Ops to develop intelligent tools, automate engineering workflows, and evaluate emerging AI technologies that enhance developer productivity.

This is a hands-on software engineering role for someone who enjoys building production-ready solutions, experimenting with new technologies, and solving complex technical challenges.

This position will be located at our offices in San Diego, CA.

This position is not eligible for employment sponsorship now or in the future. Applicants must have current and ongoing authorization to work in the United States.

In this role, you'll:

• Develop AI-powered applications, agents, and automation that improve software development workflows.
• Build and enhance intelligent testing solutions that integrate with CI/CD pipelines and improve software quality.
• Design, implement, and support AI-assisted developer tools using technologies such as Claude Code and AWS Bedrock.
• Evaluate emerging AI technologies and prototype new capabilities that improve engineering productivity.
• Develop scalable services, APIs, and platform components that support engineering teams across the organization.
• Partner with Software Engineering, QA, and Dev Ops to identify opportunities for automation and process improvement.
• Monitor solution performance and continuously optimize AI systems for reliability, accuracy, and scalability.

We're looking for someone with a growth mindset and a passion for learning. You might be a great fit if you:

• Have a builder's mindset with a passion for experimenting, rapidly prototyping, and turning innovative AI concepts into scalable production solutions.
• Demonstrate strong technical judgment to evaluate emerging technologies, prioritize high-impact opportunities, and make practical, data-driven decisions.
• Can influence through expertise, partnering effectively across Engineering, QA, and Dev Ops to drive adoption of new tools and practices.
• Have a continuous learning mentality, staying at the forefront of AI-assisted software development and applying new capabilities to improve engineering productivity.

You don't need to check every box. We will consider a combination of education and experience, including:

• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 4–7+ years of software engineering experience, depending on level.
• Strong Python development experience;
  Java and/or C# experience preferred.
• Experience building applications using Large Language Models (LLMs), generative AI, or agentic AI workflows.
• Experience with AI platforms such as AWS Bedrock, Anthropic Claude, OpenAI, or similar technologies.
• Experience designing and consuming REST APIs, distributed systems, and cloud-native applications on AWS.
• Experience with Git, CI/CD pipelines, Docker, Kubernetes, and modern Dev Ops practices.
• Experience with automated testing frameworks such as Playwright or similar tools.
• Understanding of prompt engineering, LLM evaluation, regression testing, and AI system monitoring.
• Experience developing internal engineering tools or developer platforms is a plus.
• Experience with RAG,…