Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region. Our award‑winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce. Our brand promise - Makes Work Life BetterTM - Reflects our commitment to employees, customers, partners and communities globally. About The Opportunity We are looking for a Senior Software Developer to join the team building AI Agent capabilities in Dayforce, with a focus on data‑centric agents. This role is ideal for someone who can design, build, and ship production‑quality agent systems—including a natural language to SQL (NL2SQL) solution—using modern agent frameworks (LangChain, LangGraph, Python) and AI development tools (Copilot, Claude, GitHub Copilot Agents, IDE agents, and internal agents). The goal is to accelerate delivery while maintaining high standards for quality, security, and operational excellence. This is a high‑impact role. You will help transform how millions of users across 150+ countries interact with Dayforce by enabling natural language access to data and automating complex data workflows through intelligent agents. You will work across the full software lifecycle—architecture, design, prototyping, implementation, testing, release, and production operations—and partner closely with product, platform, and engineering teams. What You'll Get To Do Design and Build Data Agents Design, build, and maintain data‑centric AI agents, including an NL2SQL solution that translates natural language queries into accurate and performant SQL against complex enterprise data models Develop agent architectures using LangChain, LangGraph, and Python, including tool use, multi‑step workflows, and structured reasoning patterns Build robust evaluation, testing, and observability patterns to ensure correctness, reliability and safety of agent outputs Design and implement guardrails, validation layers, and sandboxed execution environments to safely run generated SQL and agent‑produced code in production Continuously improve agent accuracy and relevance through prompt engineering, fine‑tuning strategies, and feedback loops Build and Ship High-Scale Systems Design and implement new microservices, evolve existing services, and build or consume well‑designed APIs to support agent and data workflows Own critical areas of the agent codebase and provide technical stewardship for shared patterns and libraries Improve performance, relevance, and reliability of data agent services through profiling, tuning, and iterative optimization Build tooling and automation around releases, integrations, and operational workflows and contribute to long‑term improvements in production support, incident learnings, reliability, and operational maturity AI‑Accelerated Engineering AI‑assisted scaffolding with rigorous human review AI‑generated test suites and regression harnesses Fast refactoring and modernization supported by automated verification Agentic workflows for repetitive engineering tasks such as migrations, API clients, documentation, and runbooks Secure and responsible AI usage with strong review discipline, no sensitive data leakage, and traceable change sets Product Partnership and Engineering Culture Partner with product and engineering stakeholders to understand data access needs and translate them into agent‑driven solutions Translate business requirements into clear, well‑reasoned technical designs Present system designs and complex technical topics to both technical and non‑technical audiences Mentor peers through pairing, coaching, and high‑quality code and design reviews Take an organization‑first approach to accountability, prioritizing business outcomes over individual ownership Skills And Experience We Value Strong Python development experience with a proven track record of building production systems Hands‑on experience building agents using LangChain, LangGraph, or comparable frameworks, including tool use and multi‑step workflows Experience building or contributing to NL2SQL or other natural‑language‑to‑structured‑query systems Strong SQL expertise, including complex query authoring, optimization, and schema comprehension across large, normalized data models Solid system fundamentals, including data structures, algorithms, design patterns, API design and reliability engineering Experience with microservices and API‑based architectures Experience with cloud platforms, with Azure strongly preferred Experience testing and evaluating LLM‑based systems for accuracy, safety and hallucination mitigation Familiarity with version control and CI/CD workflows using Git, GitHub or Azure DevOps AI Tooling Fluency (Required) Demonstrated use of AI tools to accelerate feature delivery while maintaining high‑quality pull requests Rapid prototyping and iteration supported by automated tests Refactoring and modernization with strong automated safety nets Effective use of AI for debugging, including log analysis, hypothesis generation, and targeted fixes Nice‑to‑Have / Standout Experience Experience with recursive language models (RLMs) and iterative inference strategies Experience with sandboxed execution environments for safely running dynamic or generated code Background in data engineering, including ETL/ELT pipelines, data modeling and data warehousing Experience with retrieval‑augmented generation (RAG), vector databases and embedding‑based retrieval Kubernetes experience, including deployments, scaling and troubleshooting Azure PaaS experience, such as Azure SQL, Functions, Key Vault, Storage, Azure Monitor and Log Analytics Kafka integrations across databases, microservices or stream‑processing systems Strong observability and reliability practices, including monitoring, alerting and SLOs DevOps automation experience using tools such as Terraform, ARM templates or PowerShell Experience with prompt engineering, fine‑tuning and LLM evaluation frameworks How We’ll Evaluate Success Delivery of a production‑quality NL2SQL solution and data agent capabilities that meaningfully improve how users access and interact with data in Dayforce Reliable, well‑tested agent systems with strong guardrails, observability and operational maturity Faster and more confident delivery enabled by effective AI‑assisted engineering workflows Scalable, observable and evolvable data agent services Positive impact on team capability through collaboration, mentoring and strong engineering practices What’s In It For You Dayforce is fueled by the diversity of our talented employees. We are an equal‑opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense fulfillment. We encourage individuals to apply based on their passions. Dayforce encourages personal and professional growth. We offer excellent time‑away from work programs, comprehensive wellness initiatives, and recognition through competitive pay and benefits. With a commitment to community impact, including volunteer days and our charity, Dayforce Cares, we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself. This job posting is for an existing vacancy. Artificial intelligence may be used in the screening, assessment, or selection of applicants for this position. About The Salary Ranges Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors including bonuses and/or incentives, or a candidate’s experience, skills, budget and location. Our company is committed to providing a fair, equitable and competitive package that reflects the value an individual brings to the organization. Proficiency in English is required for this position as this role will regularly interact with English‑speaking stakeholders, co‑workers, managers and/or clients across the world. Further, our back‑office support teams, including but not limited to Human Resources, are primarily English speaking. Employees need to be able to communicate with these departments in English to appropriately administer their business relationship. Due to the significant high volume of interactions with these English‑speaking co‑workers, managers, stakeholders or clients, which is inherent to this position, it is not possible to reorganize the company’s activities to avoid this requirement. Fraudulent Recruiting Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process. Pour consulter cette offre d’emploi en français, veuillez utiliser le lien: #J-18808-Ljbffr