Sr Software Developer (Data Agents)

Skip to Content Sign In Sr Software Developer (Data Agents) Req #24084 United States Apply Share Job Description Posted Thursday, May 14, 2026 at 9:00 PM | Expires Wednesday, July 15, 2026 at 8:59 PM 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 Better™ - Reflects our commitment to employees, customers, partners and communities globally. This posting represents an ongoing opportunity within our organization. While there may not be an active vacancy at this time, we encourage interested candidates to apply. Applications will be reviewed periodically and retained for future openings. 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 Contribute to long-term improvements in production support, incident learnings, reliability, and operational maturity AI-Accelerated Engineering AI-assisted development is a core and critical part of this role. You will actively use AI tools to increase engineering throughput while maintaining correctness, maintainability, and security. 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 stro ... (truncated, view full listing at source)