[WINTER 2027] AI App & Tool Development Intern 8 Months

Benefits for Students: 

Experience working for one of the fastest growing Human Capital Management technology companies in the world

Access to Dayforce development programs and resources 

Ability to work with, as well as create relationships with, Dayforce team members across the globe 

Autonomy to bring forth new ideas and optimize existing structures within the organization 

Meaningful responsibilities, enabling you to obtain ‘real-world’ experience 

Dynamic hands-on exposure to multiple business-units and stakeholders across Dayforce 

About the opportunity:

We’re looking for an AI App & Tool Development Intern to help design and build AI-powered tools, automation, and product improvements that make our teams more effective.

You’ll work directly with the Application Advisory (AA) team, engineers, consultants, and other stakeholders to identify high-value problems and turn them into working solutions. Projects may range from enhancing existing internal tools, developing new AI-powered applications and automating complex workflows.

One of our key initiatives is using AI and/or automation to significantly reduce the manual effort involved in Dayforce release smoke-testing, with a goal of reducing testing effort by more than 50%. But that is only one example of the problems you may tackle.

The common thread is simple: find high-friction work, understand the problem, and build technology that makes it better.

You’ll write code that ships. You’ll prototype quickly, work with the people who actually use the tools, measure whether your solution creates meaningful value, and iterate based on what you learn.

What you’ll get to do:

Build and enhance internal tools and applications used by the Application Advisory team

Contribute to the evolution of existing tools, including enabling Advisory to use developer forward Dayforce tools like Studio and APIs

Identify repetitive, manual, or high-friction workflows that can be improved through software, AI, or automation

Design and prototype new tools based on real business and user requirements

Build AI-powered workflows using LLM orchestration, RAG, agentic patterns, and Azure AI

Work directly with Advisory team members and implementation consultants to understand workflows and translate business problems into technical solutions

Develop backend services and integrations using Python, SQL, APIs, and Azure technologies

Build and improve user experiences using JavaScript and React

Integrate Dayforce and internal systems where appropriate to create more connected workflows

Measure the impact of what you build through metrics such as hours saved, adoption, workflow efficiency, test coverage, and quality improvements

Take successful prototypes beyond the proof-of-concept stage and help turn them into reliable tools people can use

Document solutions and communicate findings to both technical and non-technical audiences

Types of Projects You May Work On

Your projects will be driven by real AA business needs and may include:

Clock Order enhancements — improving the standard operating procedure, with focus on visibility and automation

AI-powered internal tools — building assistants and applications that help Advisory teams complete work faster

Implementation test automation — reducing manual configuration validation, scenario testing, and parallel verification

Workflow automation — replacing repetitive processes with intelligent, automated workflows

Knowledge and RAG solutions — making internal knowledge easier to find and use in context

Agentic workflows — developing AI agents capable of completing multi-step tasks across systems

Data and reporting tools — turning operational data into actionable insights

Rapid prototypes — testing new ideas quickly and determining whether they are worth scaling

Technology

Depending on the project, you may work with technologies including:

Azure AI / Azure OpenAI · LangChain · Agentic AI / ReAct · RAG and Vector Stores · Python · SQL · REST APIs · React / JavaScript · Azure Services · Dayforce APIs and Integrations

Skills and experience we value:

Enrolled in a Bachelor’s or Master’s program in Computer Science, Computer Engineering, Mathematics, Information Technology, or a related technical field

Intermediate Python skills, including the ability to structure a codebase, work with APIs, and debug independently

Intermediate SQL skills, including joins, aggregations, subqueries, basic data modelling, and query optimization

Working knowledge of JavaScript and experience building or modifying UI components; React is a strong plus

Understanding of LLM and generative AI fundamentals, including prompt design

Strong analytical and problem-solving skills

Ability to translate loosely defined business problems into technical approaches

Comfort working in environments where requirements evolve as you learn

Ability to prototype quickly while still thinking about maintainability, usability, and production readiness

Curiosity and persistence to investigate how a process works before trying to automate it

Strong communication skills and an ability to work directly with both technical and non-technical stakeholders

What would really make you stand out:

Experience building full-stack applications or internal developer tools

Experience with LangChain, Azure AI, Azure OpenAI, or agent frameworks

Experience building RAG solutions or working with vector databases

Experience integrating applications through REST APIs

Experience with test automation tools such as Playwright, Selenium, or pytest

Experience taking a project from initial idea through prototype to a usable application

Exposure to HCM, payroll, workforce management, or Dayforce

Previous internship, co-op, or project experience involving software engineering, AI, automation, or consulting

A builder mindset: you enjoy understanding a problem, creating something useful, putting it in front of users, and improving it based on feedback