Need Senior/Lead AI Developer (Agentic Engineer) - 100% Remote || 6+ Months || Interview: Video

Largeton Group is recruiting a Senior/Lead AI Developer (Agentic Engineer) for a client modernization initiative. The role builds reusable AI agents to automate legacy application technology and security upgrades, while guiding development pods and ensuring human verification of engineering outcomes.

Responsibilities:

• We are building internal AI agents to automate the modernization and security upgrades of our legacy enterprise applications engineering these agents to complete 90% of the upgrade work autonomously , leaving the remaining 10% for human verification and validation
• We are looking for a Senior/Lead AI Developer (Agentic Engineer) with hands-on technical lead experience to triage unfamiliar enterprise applications, design modernization approaches, build and evolve reusable AI skills/agents, and guide small development pods through safe technology-stack and security upgrades while preserving the applications' intended architecture and behavior
• Migrating legacy applications running on older Linux platforms and older Java runtimes (e.g., upgrading from JDK 17 to JDK 25) by building AI agents that scan legacy apps, generate technical specifications, and automatically execute dependency-by-dependency upgrades
• Transitioning applications from legacy security/authentication models (LDAP/ISD) to modern Okta integration, evaluating applications on a case-by-case basis to determine stack vs. security upgrade needs

Requirements:

• 7 10 years of IT experience working as a Software Engineer with production/P1 incident experience, plus 1 2 years working with agentic engineering and AI projects
• Demonstrated hands-on experience building or materially configuring AI agents/skills for software-engineering workflows (e.g., 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
• 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
• 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
• with a strong preference for enterprise Java modernization involving JDK, JBoss/application servers, deployments, Maven/Gradle, and dependency remediation
• (Okta strongly preferred)
• Python and modern LLM/agent frameworks; MCP/tool integration; prompt/context engineering; RAG where relevant
• GCP/Vertex AI or other enterprise cloud AI platforms
• Application security, vulnerability remediation, software supply-chain controls, secrets management, OAuth/OIDC, and JWT
• Experience leading modernization of large monolithic applications without forcing unnecessary microservice decomposition