Verdantis
Website:
verdantis.com
Job details:
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.
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