At Cotality, we are driven by a single mission-to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.
Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.
Job Description:Key Responsibilities- Design, develop, test, deploy, and maintain scalable software applications following established engineering standards, coding best practices, and architectural guidelines under general supervision.
- Collaborate with product managers, designers, architects, and fellow engineers to translate business requirements into high-quality software solutions.
- Participate in all phases of the software development lifecycle (SDLC), including requirements analysis, design, implementation, testing, deployment, monitoring, and maintenance.
- Write clean, maintainable, secure, and efficient code that meets functional and non-functional requirements.
- Conduct peer code reviews, contribute to engineering best practices, and provide constructive feedback to help improve overall code quality.
- Troubleshoot, debug, and resolve application issues to ensure reliability, performance, and scalability.
- Contribute to the development and integration of AI-enabled features, services, or workflows, including working with large language models (LLMs), AI agents, and AI-assisted development tools.Assist in the design, testing, and evaluation of agentic workflows and AI-powered solutions while applying responsible AI, security, and governance practices.
- Leverage AI development tools and automation capabilities to improve developer productivity, software quality, and delivery speed.
- Participate in continuous improvement efforts related to AI Software Development Lifecycle (AI SDLC) practices, including prompt engineering, model evaluation, testing, observability, and deployment processes.
Job Qualifications:- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience.
- 3+ years of professional software engineering experience developing and supporting enterprise applications.
- Proficiency in one or more modern programming languages such as Java, C#, Python, JavaScript, or TypeScript.
- Experience with cloud platforms, APIs, databases, and modern software development practices.1-2 years of hands-on experience working with AI-enabled applications, generative AI technologies, AI assistants, agentic workflows, or large language model (LLM) integrations.
- Understanding of AI SDLC concepts, including AI-assisted development, prompt engineering, model evaluation, testing, governance, security, and responsible AI practices.
- Experience using modern development tools, source control systems, CI/CD pipelines, and Agile delivery methodologies.
- Strong analytical, troubleshooting, communication, and collaboration skills.
Preferred Qualifications- Experience building AI agents or orchestrating multi-step workflows using frameworks such as LangChain, Semantic Kernel, AutoGen, CrewAI, or similar technologies.
- Familiarity with AI-assisted engineering platforms and tools used throughout the AI SDLC (ex: BMAD, Speckit, VS Code, Copilot).
- Experience developing cloud-native applications on Azure, AWS, or Google Cloud.Knowledge of software architecture, observability, automated testing, and DevSecOps practices.
- Passion for leveraging AI to improve engineering productivity, software quality, and business outcomes.
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Annual Pay Range:93,200 - 115,000 USD
Application Window:This opportunity is expected to remain posted through the date identified below, subject to business needs.
Thrive with CotalityAt Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. Fro