Job Title: Senior Software Engineer - AI Enabled Applications (Healthcare/Claim Recovery) Company Name: The Phia Group, LLC Job Url: https://jobright.ai/jobs/info/69d7efe6f4ea471a51fe28ee Job Description: The Phia Group, LLC ยท 2 hours ago Senior Software Engineer - AI Enabled Applications (Healthcare/Claim Recovery) United States Full-time Remote Senior Level 77% GOOD MATCH 100% Exp. Level 57% Skill 79% Industry Exp. The Phia Group is a service-oriented organization assisting employee health plans nationwide. They are seeking a Senior Software Engineer to design, build, and scale internal applications that support complex subrogation and claim recovery workflows. Consulting Finance Information Technology Legal Financial Services H1B Sponsor Likely Insider Connection @The Phia Group, LLC 2 email credits available today Discover valuable connections within the company who might provide insights and potential referrals. Get 3x more responses when you reach out via email instead of LinkedIn. Beyond Your Network View J M Jeffreye S Booth & 1 connections From Your Previous Company Unlock F F F & 2 connections Previously@undefined and... From Your School Unlock F F F & 2 connections @undefined and... Find Any Email Responsibilities Design, build, and maintain applications supporting claim recovery and healthcare-related workflows Translate complex business processes into scalable, maintainable, and efficient system functionality Implement solutions involving financial logic, including balances, allocations, and reconciliation Ensure code is production-ready, well-tested, and complete prior to QA Leverage AI tools (e.g., GPT, Claude, Copilot, or similar) to: Accelerate code development and refactoring, Assist with debugging and root cause analysis, Generate tests, documentation, and validation logic Identify and implement opportunities to automate repetitive development and operational workflows Continuously evaluate and adopt new AI tools to improve engineering efficiency Work extensively with relational databases and large datasets Write and optimize complex SQL queries, stored procedures, and data transformations Ensure data integrity, reconciliation accuracy, and system performance at scale Troubleshoot and resolve data discrepancies across systems Build and maintain integrations across internal and external systems via APIs and data pipelines Design systems that support multi-step workflows and conditional business logic Ensure reliable data flow, error handling, and system resiliency Collaborate closely with Operations and business stakeholders to align systems with real-world workflows Participate in code reviews, design discussions, and technical decision-making Mentor developers and contribute to improving team standards and delivery practices Drive a culture of ownership, accountability, and first-time-right delivery Qualification Represents the skills you have Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise. Backend development Java Python Relational databases SQL Complex workflows Financial logic Data reconciliation AI tools for development API development Healthcare claims processing Required Demonstrated ability to design and deliver production-grade applications in data-driven environments Strong experience with: Backend development (Java, Python, or similar), Relational databases and advanced SQL Experience building systems that handle: Complex workflows, Financial or transactional logic, Data reconciliation across systems Proven use of AI tools within the development lifecycle to improve speed, quality, or automation Experience building and consuming APIs in enterprise environments Strong problem-solving skills with the ability to diagnose and resolve complex production issues Ability to work effectively with both technical and non-technical stakeholders Preferred Experience in healthcare, claims processing, or financial recovery systems Familiarity with high-volume data processing and structured data formats Experience optimizing system performance in data-intensive environments Exposure to automation tools or scripting (e.g., Python, PowerShell) Experience improving development workflows through automation or AI adoption