Technical Consultant- AI-driven Cloud Full stack Engineer

Fastloop; Vancouver; On-site; CAD 80,000 - 120,000; Full time

Job summary

An innovative firm is on the lookout for a Cloud/AI Full Stack Engineer to drive AI initiatives and develop cutting-edge applications. In this pivotal role, you will design and implement full-stack solutions, integrating advanced AI models into web applications and cloud services. Your expertise in cloud-native development and MLOps will be essential for supporting data engineering, analytics, and machine learning efforts. This dynamic team values proactivity and adaptability, offering a collaborative environment where your contributions will significantly impact the future of technology. Join us to help shape the future with AI-driven solutions!

Qualifications

• 3-6 years of experience as a Full Stack Engineer or Cloud Engineer.
• Proficiency in Python, Node.js, or Java with database experience.
• Hands-on experience with React or Angular for frontend development.

Responsibilities

• Develop full-stack solutions integrating AI models into applications.
• Design and deploy scalable microservices and APIs on GCP.
• Collaborate with teams to prototype and deploy AI solutions.

Skills

Python

Node.js

Java

React

Angular

RESTful API

MLOps

CI/CD

Security & Data Privacy

Education

Bachelor's Degree in Computer Science

Google Cloud Professional ML Engineer

Google Cloud Developer

Tools

Google Cloud Platform (GCP)

GitHub Actions

Terraform

BigQuery

PostgreSQL

Vertex AI

Job description

Technical Consultant- AI-driven Cloud Full stack Engineer

We are seeking a talented and versatile Cloud/AI Full Stack Engineer to join our growing team. This role will be pivotal in developing and deploying AI-powered applications across Google Cloud Platform (GCP).

At Fastloop, we have a deep passion for helping businesses build their future. We use leading technologies and best-in-class business expertise within our three core pillars of service excellence: Data, Analytics, and AI (including Generative AI and Machine Learning).

Fastloop’s consulting model requires a team who is willing and able to work quickly, across new industries/verticals, with emerging technologies, in a fast, agile fashion. All team members must be extremely proactive, willing to explore the unknown and comfortable adapting to changing technical and functional requirements.

About the Opportunity

You will design and implement full-stack solutions, integrating advanced AI models into web applications, APIs, and cloud services. Your expertise in cloud-native development, MLOps, and cross-cloud flexibility will be essential in driving our AI initiatives, supporting our data engineering, analytics, machine learning, and artificial intelligence initiatives.

Responsibilities:

• Develop AI-Driven Applications: Build full-stack solutions integrating AI models into web applications, APIs, and cloud services.
• Cloud-Native Development: Design and deploy scalable microservices, APIs, and user-facing applications on GCP (Cloud Run, GKE, Compute Engine).
• Backend Engineering: Develop efficient and scalable backend services using Python, Node.js, or Java with databases like BigQuery, PostgreSQL.
• Frontend Engineering: Design intuitive user interfaces with React, Angular or similar, ensuring performance and accessibility.
• AI Model Integration: Work with ML engineers to integrate machine learning models into applications using Vertex AI or custom APIs.
• MLOps & CI/CD: Implement CI/CD pipelines (Cloud Build, GitHub Actions) and automate model deployment.
• Security & Compliance: Ensure AI solutions comply with data privacy, governance, and security best practices on GCP.
• AI as a Service (AIaaS): Develop APIs and services that expose AI capabilities for use across multiple business units.
• Cross-Cloud Flexibility: Adapt to a hybrid cloud environment, ensuring applications can run across GCP and other clouds if needed.
• Collaboration & Experimentation: Work in an agile setup, collaborating with data scientists, cloud/data engineers, analysts, and business teams to prototype, test, and deploy AI solutions.

What you will need to succeed:

• 3-6 years of experience as a Full Stack Engineer, Cloud Engineer, or AI Software Engineer.
• Backend Development: Proficiency in Python (Django, Flask, FastAPI), Node.js, or Java (Spring Boot) with database experience in PostgreSQL, Firestore, and BigQuery.
• Frontend Development: Hands-on experience with React, Angular or similar, including state management and UI performance optimization.
• API Development: Strong experience in RESTful API or gRPC development.
• MLOps & AI Integration: Experience with Vertex AI, MLFlow, or similar.
• DevOps & CI/CD: Experience with Cloud Build, GitHub Actions, Terraform for infrastructure automation.
• Security & Data Privacy: Knowledge of OAuth, IAM, JWT, data encryption, and regulatory compliance (e.g., GDPR, HIPAA).

Preferred Experience:

• Experience in LLMs, Generative AI, and AI observability.
• Knowledge of AI governance, explainability, and responsible AI practices.
• Retail, Insurance, Heavy Machinery/Manufacturing Industry experience - Nice to have.
• Experience as a Technical Consultant - Nice to have.

Certifications:

• Bachelor's Degree in Computer Science, Software Engineering, or a related field.
• Google Cloud Professional ML Engineer or Cloud Developer would be preferred.

Ready to join the team?