Agentic Coding Lead

Verdantis is hiring a hands-on engineering leader to run the MRO360 team. The role combines technical leadership in architecture, delivery, and mentorship with real coding across backend, frontend, and AI workflows. A core focus is establishing disciplined, agentic development practices: using AI coding agents to accelerate delivery while enforcing rigorous human review, testing, and production accountability.

This role suits a builder-leader who still enjoys writing code, has used AI coding tools seriously in production settings, and can red-team AI-generated output rather than accept it at face value. It is not suited to a pure management profile, someone who treats agent output as a shortcut around review, or someone who cannot operate production systems without AI assistance.

The candidate will have responsibilities across the following functions:

Engineering Leadership and Delivery:

• Own architecture and technical direction across backend, frontend, AI workflows, and integrations.
• Translate product requirements into technical designs and shipped software.
• Partner with product, AI, QA, DevOps, and customer-facing teams; surface risks early.

Hands-On Coding:

• Write and review production code across the stack; build APIs, services, and UI features.
• Debug complex issues and improve performance, reliability, and observability.

Agentic Coding and AI-Native Engineering:

• Use tools such as Claude Code, Cursor, Copilot, or similar coding agents in real workflows.
• Build internal agents for code review, test generation, documentation, and refactoring.
• Set guardrails, prompts, and standards governing what agents may change vs. what requires human review.
• Red-team AI-generated code for hallucinated logic, security gaps, and weak tests before merge.

AI Product Development:

• Collaborate with AI engineers on LLM features, RAG pipelines, and data enrichment workflows.
• Balance AI capability against accuracy, cost, latency, and customer trust.

Team Leadership:

• Mentor engineers through design and code review; set standards for quality and delivery.
• Support hiring and build a culture of ownership and disciplined AI tool use.

Requirements:

• 8-12+ years in software engineering, including 2+ years in a technical lead/staff role.
• Strong coding ability in at least two of: Node.js, Python, Java, React.
• Experience building SaaS, enterprise, or AI-enabled products.
• Practical, real-world use of AI coding tools or agents, not just autocomplete.
• Ability to design simple agentic systems (LLM APIs, tool calling, structured outputs).
• Solid grasp of backend APIs, databases, auth, CI/CD, and production debugging.
• Strong communication with both technical and non-technical stakeholders.

Strong Advantage:

• Experience with LLM apps, RAG, embeddings, vector databases, or agent frameworks (LangGraph, CrewAI, AutoGen).
• Experience building developer-productivity agents (file edits, test runs, PR summaries).
• Familiarity with MRO, EAM, ERP, or procurement systems (SAP, Oracle, Maximo, Ariba, Coupa).
• Experience with Docker, Kubernetes, cloud platforms, and 01 or 110 product building.

Success in the First 90 Days:

• Understand the MRO360 product and architecture; take ownership of a module or technical area.
• Stand up at least one working coding-agent workflow (e. g., PR review, test generation).
• Establish a review path so AI-written code is challenged by tests and senior judgment before production.
• Ship production-quality features and identify weak spots in architecture and workflow.