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:
A Senior Professional, Software Engineer designs, builds, tests, deploys, and operates end-to-end product capabilities within an AI-native engineering pod. This role develops and delivers AI, automation, and enterprise software solutions that transform business operations, improve efficiency, and enable scalable digital modernization. The engineer applies systems thinking, AI-assisted development, specification-driven delivery, automated validation, and strong production engineering practices to deliver secure, scalable, reliable, and high-quality solutions for the Transformation team.
- Build full-stack capabilities across user interfaces, APIs, services, workflows, data integrations, and cloud-native components.
- Design and implement AI-enabled services, LLM integrations, retrieval pipelines, semantic search, embeddings, classification, ranking, workflow automation, and decision-support capabilities.
- Design prompt architectures, system instructions, tool-use patterns, memory and context strategies, agentic workflows, orchestration patterns, and human-in-the-loop approval paths.
- Engineer context pipelines that connect enterprise knowledge, product specifications, domain rules, data quality signals, and user intent into reliable model inputs.
- Translate product intent, technical specifications, and acceptance criteria into validated, production-ready implementation.
- Build evaluation harnesses, test datasets, quality thresholds, and feedback loops to measure accuracy, groundedness, completeness, consistency, usefulness, latency, cost, reliability, safety, and risk.
- Own automated testing, CI/CD readiness, observability, auditability, traceability, incident response, rollback planning, and production validation for assigned scope.
- Collaborate across engineering, product, business, TPM, architecture, data, security, operations, and domain teams to design, build, and deploy innovative technology solutions that align AI behavior, software delivery, compliance expectations, and measurable business impact.
- Use AI coding assistants, reusable context, specification-driven delivery, automated validation, and agentic workflows to generate, refactor, test, and document software responsibly.
- Apply systems thinking to understand upstream and downstream impacts, cross-service dependencies, user workflows, data flows, security boundaries, operational failure modes, compliance obligations, and long-term maintainability.
- Identify and address responsible AI risks, including hallucination, bias, privacy exposure, data leakage, insufficient explainability, unsafe automation, and limited human validation.
- Maintain security, privacy, accessibility, performance, resilience, and maintainability standards across delivered work.
Job Qualifications:
- Bachelor's degree in computer science, Software Engineering, or related field; advanced degree preferred.
- 3+ years of experience in software development, with demonstrated ability to lead technical initiatives across teams.
- Strong understanding of the full software development lifecycle - from requirements and architecture through build, test, and deployment.
- Extensive experience designing and implementing scalable systems, including applications, platforms, internal tools, or developer infrastructure.
- Strong programming skills across multiple languages and technology stacks, with a broad generalist mindset and comfort working across frontend, backend, infrastructure, and DevOps as needed.
- Required expertise/knowledge includes: Full stack: Java and Angular. Additional skills in Python, JavaScript, TypeScript, PHP, Spring Boot, React, Spring Security, Hibernate, Node.js are