Agentic Software Engineer

Position Purpose

Deliver business outcomes on existing MA/BDO3 platforms by combining strong software engineering discipline with effective orchestration of AI agents. The role focuses on practical delivery in brownfield environments where engineers must understand existing code, integrations, business rules, data flows, operational constraints, and architecture guardrails before making safe changes.

Key Responsibilities

Feature Delivery & Defect Resolution

• Deliver new features, enhancements, defect fixes, integrations, and operational improvements across brownfield enterprise applications.
• Translate Jira stories, BDD scenarios, business rules, architecture guidance, and test cases into working software.
• Use AI agents to accelerate implementation while validating every generated output against business intent and technical standards.
• Own end-to-end delivery from analysis through code, tests, pull request, release readiness, and production validation.

Agentic Engineering Execution

• Direct AI agents to perform codebase discovery, dependency analysis, impact analysis, refactoring, code generation, test generation, documentation, and troubleshooting.
• Create and improve reusable prompts, agent instructions, workflow templates, and context packages for recurring engineering tasks.
• Review, correct, and integrate AI-generated code and artifacts using engineering judgment and established review practices.
• Contribute improved system knowledge back into shared repositories so future agents and engineers become more effective.

Brownfield System Understanding

• Analyze existing application behavior, integration dependencies, data models, legacy business rules, configuration, logs, and operational constraints before making changes.
• Preserve compatibility with existing business processes and upstream/downstream systems.
• Identify technical debt, risky dependencies, test gaps, and modernization opportunities during normal delivery work.
• Support incremental modernization such as framework upgrades, API enablement, cloud migration, component refactoring, and test automation.

Quality, Security & Release Readiness

• Ensure delivered changes meet architecture standards, secure coding practices, performance expectations, and operational readiness requirements.
• Create or update automated unit, integration, regression, API, security, and BDD-based tests where appropriate.
• Validate AI-generated tests for meaningful coverage rather than accepting superficial test output.
• Participate in code reviews, pull request reviews, deployment preparation, CI/CD execution, and production support.