Senior Software Engineer

Overview

Software Engineer on the Corrigo Platform at JLL Technologies, building core CMMS features alongside AI agents and LLM-powered automation for facilities management.

What you'll do

• Work closely with the Product Management team to understand product requirements and translate them into executable engineering tasks
• 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
• Support the customer service team in addressing escalated issues across a variety of areas
• 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

What you'll need

• 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., LangChain, LangGraph, Semantic Kernel, or equivalent)
• 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
• Understanding of business requirements, with the ability to translate them into sound technical designs while leveraging critical thinking
• 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
• Working knowledge of DevSecOps practices and CI/CD pipelines
• Ability to design functionality that is easily tested and to develop robust tests covering relevant cases, including evaluation sets for AI-driven features

Nice to have

• Experience with .NET Framework / .NET 8
• 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

Details

• Location: On-site, Bengaluru, KA
• Scheduled weekly hours: 40