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.Solid 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. (ref:hirist.tech)

📌 Agentic Coding Lead (Mumbai)
🏢 Verdantis
📍 Mumbai