Software Engineer, AI & Automation — Corrigo Platform

In doing so, we will build a better tomorrow for our clients, our people, and our communities.

JLL Technologies is a specialized group within JLL. At JLL Technologies, our mission is to bring technology innovation to commercial real estate. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while enhancing the productivity and happiness of those that occupy them.

We're looking for a Software Engineer to help build the next generation of the Corrigo Platform — one where AI agents and automation are core to the product, not an add-on. Corrigo delivers a single, powerful CMMS uniting operations, asset & work order management, maintenance, and analytics to deliver smarter facilities management. Corrigo is one of the leading CMMS enterprise solutions in the world, with a client base of about 4 million users across more than 2 million locations and hundreds of millions of connected assets.

This is a hybrid role: you'll build and ship core platform features alongside the rest of the engineering team, and you'll design and build AI agents and automated workflows that extend Corrigo's capabilities — from intelligent work order triage to autonomous maintenance recommendations. The ideal candidate is a strong software engineer first, with hands-on experience building applications powered by LLMs and a fluency in using AI coding tools to move faster without sacrificing quality.

As a Software Engineer at JLL Technologies, you will:

Develop new features, enhance existing features, and optimize functionality across the Corrigo platform, from design through testing and deployment

Design, build, and productionize AI agents and LLM-powered workflows (e.g., work order triage, intelligent routing, natural-language search,



automated diagnostics) that extend Corrigo's core CMMS capabilities

Integrate agentic and automation capabilities with existing services, APIs, and data pipelines, with attention to reliability, cost, latency, and safety of AI-driven decisions

Evaluate, prototype, and adopt AI coding tools and agentic development workflows (code generation, AI-assisted testing, automated code review) to accelerate the team's delivery

Write clean, high-quality, maintainable code, and build evaluation/test harnesses for AI-driven features

Participate in code reviews — both submitting your own work and reviewing peers' code, including AI-generated or AI-assisted code

Troubleshoot and independently resolve complex issues within your domain, including issues specific to AI agent behavior and model outputs

Contribute to team knowledge sharing on AI engineering practices, prompt design, and agentic architecture patterns

At least a bachelor's degree in Computer Science or a related field

- 6+ years of professional experience developing SaaS/PaaS products, including recent hands-on work building AI-powered or LLM-integrated features
- Expertise in at least one of frontend or backend development
- Practical experience building with LLMs — prompt engineering, retrieval-augmented generation (RAG), function/tool calling, or agentic frameworks (e.g., Hands-on, daily use of AI coding tools (e.g., GitHub Copilot, Cursor, Claude Code, or similar) for code generation, refactoring, code review,



and automated testing — with the ability to critically evaluate and validate AI-generated output
- Ability to design AI agent workflows that are observable, testable, and safe to operate in production, including guardrails for model errors or unexpected behavior
- Experience with the design and development of relational databases
- Working knowledge of cloud technologies (Azure preferred but not required), including deploying and monitoring AI/ML-adjacent services
- Ability to design functionality that is easily tested and to develop robust tests covering relevant cases, including evaluation sets for AI-driven features

Experience with .NET Framework / .NET 8 (the platform codebase is .NET-based — you will read and contribute to it)

Experience with ASP.NET Core / .NET Core MVC

Experience with ORM frameworks (Entity Framework, NHibernate)

API design concepts and development of RESTful web services, including APIs that expose or orchestrate AI agent capabilities

Experience integrating with LLM provider APIs (e.g., OpenAI, Anthropic, Azure OpenAI) and vector databases / embedding stores

Experience with design and implementation of asynchronous processing, queues, topics, and related technologies

Experience with distributed applications, service-oriented architecture, caching, and related concepts

Experience with the cloud ecosystem — Azure, NoSQL databases, Elasticsearch

Experience building and maintaining distributed applications using Kubernetes + Docker

Familiarity with JavaScript frameworks (React, Angular)

Experience with agile methodologies

Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, perks, and pay.

Join us to develop your strengths and enjoy a fulfilling career full of varied experiences — building the AI-powered future of facilities management technology.

📌 Senior Software & AI Engineer (Bengaluru)
🏢 JLL
📍 Bengaluru