Agentic Engineer
Mydayforce Indeedjobs
Pay not stated in the posting
Mauritius
Posted 1 week ago · Confirmed live 18 hours ago
Skills this job asks for
- AWS
- Git
- Java
- Prompt Engineering
- Python
- REST APIs
- Retrieval-Augmented Generation
- TypeScript
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At a glance
- Type
- Not stated
- Level
- Not stated
- Experience
- Not stated
- Work model
- Not stated
- Schedule
- Not stated
- Education
- Not stated
- Benefits
- Not stated
Description
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.
About the Opportunity
At Dayforce, we are transforming Powerpay, our Canadian payroll and human capital management solution, by leveraging modern cloud-native technologies and Artificial Intelligence to build smarter, more efficient applications.
We are looking for a passionate, hands-on AI Software Engineer specializing in Agentic AI who combines strong software engineering fundamentals with practical experience developing AI-powered applications and intelligent agents.
You will contribute to designing and building AI agents, automating complex workflows, and integrating Large Language Models (LLMs) into enterprise applications.
We value engineers who are curious, innovative, and capable of transforming emerging AI technologies into practical, reliable, and scalable solutions that deliver real business value.
What You'll Get to Do
Design, develop, test, and maintain AI-powered applications and intelligent agents.
Build agentic workflows capable of executing multi-step tasks, interacting with tools, and automating business processes.
Integrate LLMs with enterprise applications, REST APIs, databases, and external services.
Develop AI solutions using frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent technologies.
Implement Retrieval-Augmented Generation (RAG) to enable AI applications to retrieve and use enterprise knowledge.
Apply prompt engineering, context management, and tool-calling techniques to improve AI agent capabilities.
Develop reusable backend services and components supporting AI-powered applications.
Evaluate AI-generated outputs and improve agent accuracy, reliability, performance, and security.
Collaborate with developers, architects, Product Owners, and QA engineers to identify opportunities for AI-driven automation.
Deploy and maintain AI-powered services within cloud-native environments.
Experiment with emerging AI technologies and contribute to continuous improvement of AI engineering practices.
Skills and Experience We Value
Software Engineering
Strong hands-on programming experience with Python, Java, TypeScript, or equivalent languages.
Experience developing backend services, RESTful APIs, and enterprise applications.
Solid understanding of software engineering principles, object-oriented programming, and design patterns.
Good knowledge of databases, API integration, and distributed application concepts.
Experience with Git, automated testing, and Agile development practices.
Familiarity with AWS or equivalent cloud platforms.
Strong debugging, analytical reasoning, and problem-solving skills.
AI and Agentic Development
Practical experience integrating LLMs such as OpenAI GPT, Claude, or equivalent models into applications.
Understanding of agentic AI concepts, including tool calling, workflow orchestration, planning, and context management.
Experience with AI frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent tools.
Knowledge of prompt engineering, structured outputs, and LLM API integration.
Understanding of Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
Ability to design AI agents that interact with APIs, databases, and external tools.
Understanding of LLM limitations, hallucinations, and techniques for improving AI application reliability.
Engineering and Collaboration
Ability to independently investigate technical challenges and implement practical solutions.
Strong analytical thinking and willingness to experiment with emerging technologies.
Ability to translate business requirements into working AI-powered solutions.
Good communication and collaboration skills.
Strong sense of ownership, accountability, and continuous learning.
AI Engineering and Responsible AI
At Dayforce, we encourage engineers to explore innovative applications of AI while maintaining high standards of software quality, security, and reliability.
We are interested in candidates who can:
Design AI agents that execute meaningful tasks and automate workflows beyond traditional conversational AI.
Apply effective prompt engineering and context management to improve agent performance.
Evaluate and validate AI-generated outputs through testing and appropriate evaluation techniques.
Implement safeguards, access controls, and human approval mechanisms where required.
Design solutions that manage AI-related risks, including inaccurate responses, unintended actions, and sensitive data exposure.
Consider performance, latency, token usage, and operational costs when building AI-powered applications.
Follow organizational policies for responsible AI usage, information security, and data protection.
What Success Looks Like
You will be a hands-on AI Software Engineer capable of independently developing AI-powered applications and intelligent agents that solve real business problems.
You will demonstrate strong software engineering fundamentals, practical knowledge of LLMs, and the ability to design secure, reliable, and maintainable agentic workflows.
You will contribute to Powerpay's AI innovation journey by building intelligent solutions that improve productivity, automate business processes, and enhance user experiences.
Most importantly, you will go beyond AI experimentation to deliver working solutions that create measurable business value.
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.
Artificial intelligence may be used in the screening, assessment, or selection of applicants for this position.
Fraudulent Recruiting
Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an employer 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: the employer's site
Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process
About Mydayforce Indeedjobs
Mydayforce Indeedjobs