Strong Python programming skills with solid software development, debugging, testing, and version-control fundamentals. * Foundational full-stack experience building frontend, backend, APIs, and ...
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Strong Python programming skills with solid software development, debugging, testing, and version-control fundamentals. * Foundational full-stack experience building frontend, backend, APIs, and ...
Frontend Engineer Intern information
What is a frontend engineer intern?
Frontend Engineer Interns are entry-level professionals or students who assist in developing the user-facing parts of websites and web applications. They work closely with experienced frontend engineers to implement visual elements, improve user experience, and ensure responsive design using technologies like HTML, CSS, and JavaScript. Interns may also collaborate with designers and backend developers to integrate APIs and deliver interactive features. This role is designed to provide hands-on learning and exposure to industry best practices in frontend development.
What types of projects and tasks can I expect to work on as a frontend engineer intern?
As a Frontend Engineer Intern, you will typically assist with developing user interfaces, fixing bugs in existing code, and implementing new features under the guidance of senior engineers. You may work on tasks such as translating design mockups into responsive web pages, optimizing website performance, and collaborating with designers and backend developers to ensure a seamless user experience. Interns often participate in code reviews and sprint planning meetings to gain exposure to agile development processes. This hands-on experience is invaluable for building your technical skills and understanding the collaborative nature of software development teams.
What are the key skills and qualifications needed to thrive as a frontend engineer intern?
To succeed as a Frontend Engineer Intern, a solid understanding of HTML, CSS, JavaScript, and basic web development concepts is essential, often backed by coursework or personal projects. Familiarity with frameworks like React or Vue.js, version control systems such as Git, and basic debugging tools is highly beneficial. Strong problem-solving skills, attention to detail, and effective communication set standout candidates apart in collaborative tech environments. These competencies ensure interns can contribute meaningfully to projects, adapt quickly to new technologies, and work efficiently within a development team.
What is the difference between Frontend Engineer Intern vs Frontend Developer?
| Aspect | Frontend Engineer Intern | Frontend Developer |
|---|---|---|
| Credentials | Typically pursuing or recently completed a related degree or certification | Usually holds a degree or proven experience in web development |
| Work Environment | Internship programs, entry-level projects, supervised tasks | Full-time or part-time roles, responsible for developing and maintaining web interfaces |
| Industry Usage | Common in tech companies, startups, and agencies for training purposes | Standard role in software development teams across industries |
| Search/Comparison Intent | Understanding entry-level opportunities and learning paths | Looking for experienced roles or project responsibilities |
The main difference between a Frontend Engineer Intern and a Frontend Developer lies in experience, responsibilities, and work environment. Interns are typically students or recent graduates gaining hands-on experience under supervision, while developers are responsible for building and maintaining web interfaces in full-time roles. Internships serve as training grounds, whereas developers are full contributors to projects.
What job categories do people searching Frontend Engineer Intern jobs in Burnaby, BC look for?
The top searched job categories for Frontend Engineer Intern jobs in Burnaby, BC are:
AI Intern, Applied & Agentic AI
Vancouver, BC • On-site
ProCogia
Full-time, Internship
This job post has expired 1 day ago. Applications are no longer accepted.
Job description
About ProCogia:
We help businesses transform data into real growth!
Our clients operate in high-stakes, highly regulated industries (such as telecom, financial services, life sciences, and more), where precision, compliance, and measurable outcomes are non-negotiable. We partner with them by embedding expert data science, engineering, and AI talent directly into projects that matter.
We're a diverse, close-knit team with a shared goal: delivering top-class, end-to-end data solutions. We don't just analyse data, we push the boundaries of what's possible, helping clients unlock new value and insights.
When you join ProCogia, you'll find a supportive, growth-driven environment where your ideas are welcomed, and your development is prioritized. We offer competitive salaries, generous benefits and perks for personal and professional development.
If you're ready to unleash your potential and work at the cutting edge of data consulting, we'd love to meet you!
The core of our culture is maintaining a high level of cultural equality throughout the company. Our diversity and differences allow us to create innovative and effective data solutions for our clients.
Our Core Values: Trust, Growth, Innovation, Excellence, and Ownership
About ProCogia
ProCogia is a data and AI consulting firm helping organizations turn complex technology challenges into measurable business outcomes. We work with clients across highly regulated and high-stakes industries, including telecommunications, financial services, life sciences, healthcare, and the public sector, where security, governance, reliability, and performance matter.
Our teams combine data science, engineering, AI, analytics, and consulting expertise to build practical, production-ready solutions. We are actively advancing capabilities across generative AI, agentic systems, workflow automation, AI governance, and enterprise AI applications.
At ProCogia, interns work alongside experienced practitioners on meaningful technical problems. You will have the opportunity to experiment, build, challenge assumptions, and contribute directly to internal products and client solutions.
Location: Vancouver (On-site)
Job Summary
We are seeking four AI Interns (Co-op Students) to join our team from September – December 2026. This is a hands-on role for students who want to go beyond AI experimentation and learn what it takes to build AI systems that are reliable enough for real enterprise environments. You will work alongside ProCogia's AI, data science, and engineering teams to design, build, evaluate, and improve AI agents, agentic workflows, RAG systems, and LLM-powered applications. We are looking for curious builders with strong technical fundamentals, an experimentation mindset, and the discipline to test and validate AI outputs rather than trust them blindly.
Key Responsibilities
- Design, build, test, and improve AI agents and agentic workflows for internal and client-facing solutions.
- Develop RAG pipelines that provide grounded responses with citations and traceable source information.
- Integrate commercial and open-source LLMs into applications using APIs, SDKs, and enterprise systems.
- Apply an evaluation-driven development approach by defining benchmarks, measuring quality, identifying failure modes, and improving system performance.
- Build AI solutions with observability, auditability, traceability, and human oversight in mind.
- Develop integrations with APIs, databases, cloud services, and other enterprise technologies.
- Troubleshoot and improve workflow accuracy, reliability, latency, and overall performance.
- Apply strong software engineering practices including testing, version control, modular development, and documentation.
- Experiment with emerging tools and frameworks across AI agents, orchestration, retrieval, and model evaluation.
- Collaborate with consultants, engineers, and data scientists to turn prototypes into scalable solutions.
- Share your work through technical documentation, demonstrations, and presentations.
- You work with technologies such as Python, OpenAI and Anthropic models, open-source LLMs, MCP, LangChain, LangGraph, Langfuse, cloud platforms, and containerized environments. Prior experience with all of these is not expected.
What You Bring
- Currently enrolled in final year or recently completed a Bachelor's, Master's, or PhD program in Computer Science, Machine Learning, AI, Data Science, Computational Linguistics, or a related field.
- Strong Python programming skills with solid software development, debugging, testing, and version-control fundamentals.
- Foundational full-stack experience building frontend, backend, APIs, and integrated application components.
- Familiarity with React and backend frameworks such as Node.js or FastAPI.
- Ability to turn AI prototypes into functional, end-to-end applications for real users.
- Strong problem-solving skills with a systematic approach to evaluating technical solutions and outputs.
- Ability to learn quickly, navigate ambiguity, and independently work through technical challenges.
- Clear communication skills with the ability to explain complex technical concepts simply & effectively.
- High ownership, curiosity, professionalism, attention to detail, and willingness to continuously learn.
- Hands-on exposure to generative AI, LLMs, AI agents, machine learning, or workflow automation
Nice to Have
Experience with any of the following is an asset, but not required:
- LLM application development or prompt engineering
- AI agents or orchestration frameworks
- Model Context Protocol (MCP)
- RAG architectures or vector databases
- AI evaluation and benchmarking
- Cloud platforms such as AWS, Azure, or GCP
- Docker or containerized applications
- Open-source LLMs
- Building software products, side projects, research projects, or technical prototypes
Deadline for Applications: 25th August 2026
Compensation - $23/hour
ProCogia is proud to be an equal-opportunity employer. We are committed to creating a diverse and inclusive workspace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.