Agentic Software Engineer

Akkodis is seeking an Agentic Software Engineer for a Direct Hire job with a client in Plymouth, MI.

Salary Range: $180,000 to $190,000; The salary may be negotiable based on experience, education, geographic location, and other factors.

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

Analyse 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.

DevOps & Operational Contribution

Use Azure DevOps, Git, CI/CD pipelines, observability tools, and deployment automation to deliver reliable software.

Use AI-assisted log analysis and root cause investigation to speed incident response and operational support.

Improve documentation, runbooks, monitoring queries, and support knowledge based on delivery and production learning.

Qualifications

Required Experience

5+ years of professional software engineering experience.

Strong hands-on experience delivering changes in complex brownfield enterprise applications.

Experience with C#, .NET Framework/.NET Core, ASP.NET, REST APIs, SQL Server, Azure services, and integration technologies.

Experience with Git, pull requests, CI/CD pipelines, automated testing, and production release practices.

Ability to work with incomplete documentation and reverse engineer behavior from code, tests, logs, databases, and business feedback.

Agentic Engineering Skills

Effective use of GitHub Copilot, Microsoft Copilot, coding agents, test generation tools, and documentation assistants.

Prompting and agent instruction design for engineering tasks.

Use of AI for impact analysis, code comprehension, refactoring, test creation, documentation, and troubleshooting.

Ability to validate, challenge, and improve AI-generated output.

Understanding of AI usage risks including hallucination, insecure code, missing edge cases, weak tests, stale context, and hidden integration dependencies.

Core Competencies

Strong engineering discipline and quality ownership.

Practical problem solving in legacy and integration-heavy environments.

Human + AI collaboration mindset.

Attention to traceability, testability, security, and maintainability.

Ability to communicate implementation risks and tradeoffs clearly.

Continuous learning and willingness to improve agent workflows over time.

If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at [email protected]

Equal Opportunity Employer/Veterans/Disabled

Benefits offerings include but are not limited to:

• Medical, Dental & Vision insurance
• Life and Supplement Life insurance
• Long and Short Term Disability insurance
• Paid Time Off & Holidays
• 401K – with generous company match

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

· The California Fair Chance Act

· Los Angeles City Fair Chance Ordinance

· Los Angeles County Fair Chance Ordinance for Employers

· San Francisco Fair Chance Ordinance