• Design, implement, test, and maintain high-quality software solutions that align with business needs and project requirements. • Work closely with product owners, designers, and other engineers to understand product requirements and translate them into effective technical solutions. • Ensure code quality by writing clean, efficient, and well-documented code. Perform unit testing, integration testing, and code reviews. • Troubleshoot and resolve software defects, production issues, and technical problems. • Contribute to the design and architecture of software applications, ensuring scalability, reliability, and performance. • Stay up to date with company standards, technologies, and best practices, and apply them to improve the development process and product functionality. • Provide guidance and support to junior engineers, reviewing code and offering constructive feedback to foster team growth. • Participate in the team’s development process, including sprint planning, standups, and retrospectives. Communicate effectively with team members and stakeholders. • Performs other related duties as assigned to support team objectives, departmental needs, and overall organizational priorities.

• Provide strategic guidance and mentorship to Software and DevOps Engineers, fostering a culture of innovation and excellence. • Lead the design and architecture of complex software systems, ensuring scalability, reliability, and performance. • Oversee the implementation and optimization of DevOps practices, including CI/CD pipelines, automated testing, and infrastructure as code. • Work closely with cross-functional teams, including product management, QA, and operations, to align technical solutions with business goals. • Stay abreast of industry trends and emerging technologies, advocating for their adoption to maintain a competitive edge. • Conduct thorough code reviews to ensure adherence to best practices and maintain high-quality standards. • Address technical challenges and provide innovative solutions to complex engineering problems. • Ensure comprehensive documentation of system designs, processes, and standards. • Develop and deliver training programs to enhance the skills and knowledge of engineering teams. • Performs other related duties as assigned to support team objectives, departmental needs, and overall organizational priorities.

Correlation One develops workforce skills for the AI economy Enterprises and governments work with us to develop talent and close critical data, digital, and technology skills gaps. Our global programs, including training programs and data competitions, also empower underrepresented communities and accelerate careers. Our mission is to create equal access to the data-driven jobs of the future. We partner with top employers and government organizations to make that a reality, including Amazon, Coca-Cola, Johnson & Johnson, the U.S. State Department, and the U.S. Department of Defense. Our skills training programs are 100% free for learners and are delivered virtually by industry experts to minimize traditional barriers to career advancement. We take pride in fostering supportive, human-led, group learning environments that build technical proficiency and confidence in participants. Join us and let's shape the AI Economy together! Overview We’re hiring a Agentic Software Development SME to support our clients to design, operationalize, and scale agentic software development using tools like Claude Code and Github Copilot. This role is focused on building reliable, secure, and reproducible Claude Code workflows that integrate with existing engineering stack. You will streamline end-to-end delivery, reducing development and deployment time by standardizing agentic patterns, improving automation and quality gates, and enabling teams to apply agentic AI and AI-native development effectively in real production codebases. Because this space evolves rapidly, you will continuously track new tooling, model capabilities, and agentic patterns, and incorporate what you learn into client delivery and training materials. Your work will be a mix of client-facing delivery (intake, facilitation, coaching) and asynchronous build work (curriculum and enablement asset development, workflow/tooling templates). Engagements may take multiple forms depending on client and program needs, including guiding clients through intake calls to understand goals, constraints, and current engineering practices; drafting and tailoring curriculum (labs, playbooks, troubleshooting guides, and reusable templates) to address client-specific needs; embedded work alongside client engineering teams over multiple weeks to shape agentic workflows and guardrails; and delivering training via workshops (often 2-4 hour sessions). Key Responsibilities - Optimize engineering processes with agentic AI: Diagnose workflow bottlenecks, then implement agentic automation, templates, and “golden paths” that reduce cycle time and deployment time while maintaining reliability. - Team enablement for agentic AI & AI-native development: Coach teams to apply AI-native development using Claude Code or other tools safely and effectively, pairing on real tasks, guiding PRs/diff review, and driving measurable improvements. - Agentic orchestration & decomposition: Design robust multi-agent workflows, including the use of commands, hooks, skills, and model selection for repeatable outcomes. - Assessment & evaluation design: Design skill assessments to diagnose current-state engineering and agentic-AI proficiency, define modular entry points, and measure improvement over time (pre/post assessments, competency rubrics, and program effectiveness metrics). - Claude Code CLI mastery: Operate Claude Code CLI as a daily driver for parallel workstreams and tasks (multi-file refactors, parallel tasks, debugging loops, test creation, and documentation updates). - Agentic hierarchies & context management: Implement scalable agentic tooling hierarchies, context retrieval and context management for long running and complex workflows (retrieval patterns, state handling, summarization, context hygiene) to prevent drift and improve reproducibility. - DevSecOps for agentic engineering: Embed DevSecOps principles and practice into agentic workflows (least privilege, secrets hygiene, dependency/supply-chain awareness, policy-compliant usage, auditability). - Terraform & IaC: Provision and manage cloud infrastructure (AWS/GCP/Azure) using Terraform, enabling secure environments that support agentic development (ephemeral environments, CI runners, permissions). - Software architecture & engineering excellence: Apply strong architecture judgment; guide refactors and implementation patterns suitable for AI-native development; enforce testing and quality standards. - Stay current in agentic software development: Continuously evaluate emerging agentic tooling, model capabilities, and workflow patterns; synthesize learnings into updated playbooks, curriculum, and client recommendations. - Training assets, teaching & knowledge transfer: Create practical training artifacts (labs, playbooks, troubleshooting guides, examples) and deliver instruction through workshops, live training, and office hours so teams can adopt standardized workflows consistently. Qualifications - Deep proficiency with Claude Code and/or Github Copilot applied to real-world codebases (multi-file changes, refactors, debugging, test loops). - Proven experience building agentic workflows (decomposition, tool-use, verification, parallel execution, recovery strategies) and operationalizing them for teams. - Strong software engineering fundamentals: architecture, refactoring, testing strategy, debugging, and pragmatic performance/reliability awareness. - Experience integrating workflows into CI/CD and engineering processes (PR standards, quality gates, automation, deployment pipelines). - Strong DevSecOps knowledge (secure-by-default practices, access control, secrets handling, compliance-minded engineering). - Experience designing skills assessments and/or evaluation frameworks (rubrics, diagnostics, capstones, pre/post measurement) for technical learning programs. - Demonstrated ability to stay current on agentic software development tools, model capabilities, and best practices—and translate that into practical guidance, training assets, and client-facing recommendations. - Demonstrated ability to teach and coach teams and drive adoption with measurable improvements in delivery outcomes. - Excellent communication skills with the ability to align technical and non-technical stakeholders. Where you are - This role is remote and can be located anywhere that is compatible with EST time zone. We are headquartered in New York City and have office space in Midtown Manhattan. Correlation One’s Commitment Correlation One is proud to be an Equal Opportunity Employer and is committed to providing equal opportunity for all employees and applicants. Correlation One provides a work environment free of discrimination and harassment. Employment decisions at Correlation One are based solely on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. We encourage applicants to bring their unique skills, experiences, and outlook to our work environment. Correlation One is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Correlation One strives to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidates@correlation-one.com. #priority

ABOUT GREYSTAR Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $300 billion of real estate in over 260 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, managing more than one million units/beds globally. Across its platforms, Greystar has over $79 billion of assets under management, including approximately $36 billion of development assets and over $30 billion of regulatory assets under management. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit www.greystar.com. JOB DESCRIPTION SUMMARY Greystar’s D2AI team is responsible for the platforms, processes, and practices that power AI across the organization. This role goes beyond traditional delivery—your decisions influence how data is transformed into intelligent, scalable solutions used by teams company‑wide. We require AI fluency because this role sits at the intersection of data, technology, and business outcomes. That means understanding how AI systems are designed and operationalized, using AI‑enabled tools in day‑to‑day work, and partnering effectively with engineering, analytics, and business teams to ensure AI solutions are reliable, responsible, and impactful. In addition to your resume, all candidates are required to include a short video (2–5 min) demonstrating how you have used AI tools in your engineering workflow — code generation, debugging, architecture, documentation, or similar. We recommend recording with Loom (free) or uploading as an unlisted YouTube video. Please embed this link at the top of your resume. Applications without a video link will not be reviewed. JOB DESCRIPTION About the Role Greystar is building the future of multifamily real estate through data, digital products, and AI. We're seeking a Full Stack AI Engineer who can design, build, and ship AI-powered products end-to-end — from data layer to user interface. This role is for a builder who thrives at the intersection of modern app engineering and applied AI, and who wants to create products that directly improve how real estate assets are managed, leased, and optimized across a multi-billion dollar global portfolio. You will work across the stack — building performant frontend experiences, robust backend services, and integrating AI/ML capabilities including LLMs, predictive models, and intelligent automation. You'll ship features that are used by property managers, owners, investors, and residents. Our team includes engineers, designers, and product leaders with experience from Google, Microsoft, Airbnb, Strava, Amazon, and more. What You’ll Do Build AI-Powered Products End-to-End - Design and implement full stack features across our digital products including GPS (our asset management platform), Greystar.com, and internal AI tools. - Build and integrate AI/ML capabilities into production applications — including LLM-powered workflows, MCP tool integrations, retrieval-augmented generation (RAG), and predictive analytics. - Own features from concept through deployment: frontend UI, API design, backend services, data pipelines, and AI model integration. - Rapidly prototype and iterate on AI-driven features, moving from proof of concept to production with speed and quality. Engineer for Scale and Performance - Build responsive, accessible frontend interfaces using modern frameworks (React/Next.js or similar). - Design and implement scalable backend services and APIs (Python, Node.js, or similar) that serve both human users and AI agents. - Work with cloud infrastructure (Azure preferred) including serverless functions, container orchestration, and managed AI/ML services. - Ensure production systems are reliable, observable, and secure — with appropriate monitoring, logging, and error handling. Collaborate and Ship - Partner with Product Management, Design, Business owners, and Data Engineering to define and deliver high-impact features. - Participate in architectural decisions that affect the broader platform, advocating for simplicity, maintainability, and AI-readiness. - Collaborate with other engineers on AI integration patterns, prompt engineering, and modern development practices. We are an AI forward team and it’s moving fast so we test, iterate, share and repeat. What You Bring Engineering Excellence - 5+ years of professional software engineering experience shipping production applications. - Strong proficiency in both frontend (React, TypeScript, modern CSS) and backend (Python, Node.js, or Go) development. - Deep experience with AI coding tools like Cursor, Codex, Claude Code, etc. - Experience designing and building RESTful APIs, microservices, and event-driven architectures. - Solid understanding of relational and non-relational databases, caching strategies, and data modeling. - Experience with CI/CD pipelines, infrastructure as code, and cloud platforms (Azure preferred, AWS/GCP acceptable). AI/ML Integration - Hands-on experience integrating LLMs (OpenAI, Anthropic, or similar) into production applications — including prompt engineering, function calling, and agent workflows. - Familiarity with RAG architectures, vector databases, embedding models, and MCP (Model Context Protocol) or similar tool-use patterns. - Understanding of when to build vs. buy AI capabilities and how to evaluate AI vendor tools critically. - Personal projects or portfolio demonstrating AI-powered applications you’ve built — we want to see what you’ve shipped. Domain Knowledge (Preferred) - Experience in real estate, property management, or asset management is a strong plus. - Familiarity with marketplace or multi-sided platform products. - Experience working in data-intensive environments where data quality and governance matter. Mindset & Communication - AI-first mindset — you naturally look for opportunities to automate, augment, and accelerate with AI in your daily work and product development. We’ll want to see something you built on the side as a passion project. - Strong written and verbal communication skills; able to explain technical trade-offs to non-technical stakeholders. - Comfort with ambiguity and a bias toward shipping iteratively over waiting for perfection. - Collaborative approach; you work well across product, design, data, and business teams. Tools & Technologies - Proficient with modern development tools: Git, Linear (or similar), VS Code/Cursor. - Experience with Databricks, Snowflake, or similar data platforms is a plus. - Knowledge of cloud platforms (Azure preferred), containerization (Docker/Kubernetes), and modern DevOps practices. - Familiarity with design systems and component libraries; able to collaborate effectively with designers. The salary range for this position is $140,000-$170,000k USD Annually. #LI-Remote #LI-BB1 Additional Compensation: Many factors go into determining employee pay within the posted range including business requirements, prior experience, current skills and geographical location. - Corporate Positions: In addition to the base salary, this role may be eligible to participate in a quarterly or annual bonus program based on individual and company performance. - Onsite Property Positions: In addition to the base salary, this role may be eligible to participate in weekly, monthly, and/or quarterly bonus programs. Robust Benefits Offered*: - Competitive Medical, Dental, Vision, and Disability & Life insurance benefits. Low (free basic) employee Medical costs for employee-only coverage; costs discounted after 3 and 5 years of service. - Generous Paid Time off. All new hires start with 15 days of vacation, 4 personal days, 10 sick days, and 11 paid holidays. Plus your birthday off after 1 year of service! Additional vacation accrued with tenure. - For onsite team members, onsite housing discount at Greystar-managed communities are available subject to discount and unit availability. - 6-Week Paid Sabbatical after 10 years of service (and every 5 years thereafter). - 401(k) with Company Match up to 6% of pay after 6 months of service. - Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000 (includes adoption or surrogacy). - Employee Assistance Program. - Critical Illness, Accident, Hospital Indemnity, Pet Insurance and Legal Plans. - Charitable giving program and benefits. *Benefits offered for full-time employees. For Union and Prevailing Wage roles, compensation and benefits may vary from the listed information above due to Collective Bargaining Agreements and/or local governing authority. Greystar will consider for employment qualified applicants with arrest and conviction records. Important Notice: Greystar will never request your banking details or other sensitive personal information during the interview process. Greystar does not conduct any interviews via text or messaging, and all communication will come from official Greystar email addresses (@greystar.com). If you receive suspicious requests, please report them immediately to AskHR@greystar.com. ANTICIPATED CLOSING DATE May 31, 2026This date may be subject to change due to evolving business needs.