Urgent Need: AI Lead Developer - Remote

Drevol LLC
United States
1 day ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) .NET Framework Microsoft Windows Application Programming Interfaces (APIs) Artificial Intelligence Server Applications Automation of Tests Code Review Databases Continuous Integration Data Stores Cursor
+21 more
Software Debugging Software Design Documents Middleware Java Platform Enterprise Edition (J2EE) Gradle Java Development Kit WildFly (JBoss AS) Lightweight Directory Access Protocols (LDAP) Apache Maven Red Hat Enterprise Linux Software Deployment Software Engineering SQL Databases Systems Integration Data Logging Okta GitHub Copilot Claude Code Software Security Agentic-AI Git

Requirements

  • Demonstrated hands-on experience building or materially configuring AI agents/skills for software-engineering workflows experience may be with Claude Code, Cursor, GitHub Copilot or comparable agentic tooling.
  • Strong systems thinking ability to enter an unfamiliar codebase and determine where to inspect code, configuration, dependencies, data stores, integrations, security controls, runtime behavior and operational risks.
  • Deep software engineering experience in Java and/or .NET, strong preference for enterprise Java modernization experience involving JDK, JBoss/application servers, deployments, Maven/Gradle and dependency remediation.
  • Working knowledge of Linux/Red Hat and Windows application environments and how runtime, OS, middleware, database, and library upgrades interact.
  • Conceptual and practical understanding of LDAP-based authentication/authorization and migration to modern token-based identity patterns; familiarity with Okta strongly preferred.
  • Strong API, database, SQL, integration, CI/CD, Git, debugging, logging, observability, and secure software-delivery fundamentals.
  • Experience with spec-driven development, technical design documentation, code review, automated testing, and production deployment/support.
  • Ability to distinguish AI-generated suggestions from verified engineering outcomes and establish explicit human approval/verification points.
  • Preferred usage of Claude Code and creation of Agentic Coding workflows

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