Agentic Coding Lead-MRO360

We builds MRO360, an AI-native platform that helps maintenance, repair, and operations (MRO) teams in asset-

heavy industries clean, enrich, reason over, and act on their spare parts, inventory, procurement, and reliability data.

Role Summary

We are hiring a hands-on engineering leader to run the MRO360 team. The role combines technical leadership —

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.

Key Responsibilities

Engineering Leadership & 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 & 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

Candidate Requirements

Must-Have

• 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 0→1 or 1→10 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

Ideal Fit

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

Skills: java,agentic ai,docker,llm,kubernates,python,node js,rag