Sr Software Developer (Data Agents)

About the role

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).

Responsibilities

• 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
• Build 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.
• 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

Requirements

• 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
• 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
• Demonstrated use of AI tools to accelerate feature delivery while maintaining high-quality pull requests
• Rapid prototyping and iteration supported by automated tests
• Effective use of AI for debugging, including log analysis, hypothesis generation, and targeted fixes

Qualifications

• Experience with recursive language models (RLMs) and iterative inference strategies
• 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

Skills and Experience

• Must-have experience:
• 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
• 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:
• Demonstrated use of AI tools to accelerate feature delivery while maintaining high-quality pull requests
• Rapid prototyping and iteration supported by automated tests
• Effective use of AI for debugging, including log analysis, hypothesis generation, and targeted fixes

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 of 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.