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We are looking for a Sr. Software Engineer to help shape and advance AI-driven software modernization efforts in Exton, Pennsylvania. This role will guide engineering teams on applied AI practices, improve code conversion quality across varied product environments, and contribute to standards that support scalable adoption throughout the organization. The position is well suited for someone who enjoys complex technical analysis, modern automation, and working across a broad mix of legacy and contemporary technologies with a global team.
Job Responsibility:
Assess complex code conversion outcomes, identify areas where automated results need refinement, and make targeted adjustments when necessary
Improve AI-based modernization workflows by defining effective coding patterns, highlighting risky translation scenarios, and strengthening output quality
Investigate difficult translation issues by comparing behavior across languages, compilers, runtime environments, and platforms
Build internal utilities, scripts, and automation that increase efficiency, consistency, and visibility across code modernization initiatives
Design comprehensive validation strategies and resilient test coverage to confirm that transformed code performs correctly
Evaluate emerging AI tools and methods on an ongoing basis, recommending enhancements
Determine practical boundaries of different technologies and approaches
Support broader engineering adoption by mentoring developers, sharing technical guidance, and creating learning materials around AI-assisted development practices
Requirements:
Demonstrated interest in applying AI to software engineering and code transformation challenges
Strong analytical and troubleshooting skills with the ability to solve technically complex problems in a structured way
Experience working with both legacy languages such as C or Fortran and modern technologies such as .NET, Rust, or TypeScript to compare and validate converted code
Ability to understand language-specific design patterns and assess how implementation differences affect behavior and maintainability
Proven capacity to research unfamiliar topics quickly and turn new knowledge into practical engineering solutions
Experience decomposing large or intricate systems to identify root causes, dependencies, and areas of risk
Working knowledge of cloud-based development environments and related engineering practices
Nice to have:
Familiarity with technologies such as C#, ASP.NET, JavaScript, React.js, container platforms, web technologies, or cloud and application security
What we offer:
Medical, vision, dental, and life and disability insurance