Agentic Coding lead

• *Agentic Coding Lead, MRO360**

• *Verdantis \|** Mumbai \| Full\-time

• *About the Company**

Verdantis 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**

Verdantis is 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 AI assistance.

Benefits

• Health insurance
• Paid sick time
• Provident Fund

Work Location: In person