AI Software Engineer
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Role details
Tech stack
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Job description
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Build and deploy LLM agents that process clinical data, surfaced to end users through a Spring Boot web application
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Tune prompts and iterate on agent performance based on direct feedback from auditors using the tool
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Migrate existing data pipelines onto Databricks during the first phase of the engagement
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Partner with the team to expand scope beyond file ingestion into broader data engineering and AI workflows
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Help solve emerging problems in the audit and submission integrity space, where requirements are still taking shape
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Requirements
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5-9 years of professional software engineering experience
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Hands-on experience building LLM agents, including designing tool use, reasoning flows, and action-taking behavior
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Strong Spring Boot and MongoDB experience (or comparable database depth)
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Demonstrated ability to use AI-assisted development tools like Claude Code or Codex as a genuine force multiplier
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Solid object-oriented development background with web applications
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Data lake experience, ideally with Databricks for data engineering and AI pipelines * Previous Kotlin experience
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