• Analyze business and functional requirements to design scalable, efficient technical solutions. • Develop and customize Infor LN applications using the 4GL development environment and LN Studio. • Design and implement system integrations with internal and external platforms using Infor ION. • Build and deploy technical solutions leveraging Infor LN, Infor ION, ION API, and Infor API Modeler. • Develop and optimize SQL queries, stored procedures, and database objects using SQL Server. • Participate in the complete Software Development Life Cycle (SDLC), including design, development, testing, and deployment. • Conduct code reviews, perform automated testing, and support integration testing activities. • Provide technical guidance on system architecture, data flows, and interface design. • Support implementation of new modules, upgrades, releases, and system rollouts. • Ensure adherence to coding standards, performance benchmarks, and best practices.

• Review and refine AI-generated prompts, technical responses, and code outputs • Validate algorithms and software concepts for technical accuracy and logical soundness • Provide structured, actionable feedback on solution quality, efficiency, and clarity • Tag, categorize, and organize content by subject area, complexity, or programming language • Support benchmarking and evaluation efforts to measure and improve model capabilities • Contribute to improving overall technical rigor in AI-generated outputs

• This role is for one of our clients • We are inviting select, highly capable software engineers to participate in specialized project-based engagements. • This opportunity is designed for engineers who enjoy tackling unique, high-impact initiatives and working independently on clearly defined deliverables. • This is a contract-based role offering flexibility, autonomy, and the ability to contribute to focused technical projects.

• Review model-generated code trajectories on realistic software engineering tasks • Reconstruct detailed reasoning steps that explain the solution process • Annotate key decision points, debugging logic, and problem-solving strategies • Analyze full task context, including codebases, issue descriptions, and test cases • Ensure annotations reflect accurate, realistic developer reasoning and technical soundness • Deliver structured, high-quality written explanations aligned with engineering best practices