Technical Consultant- AI-driven Cloud Full stack Engineer
Vancouver
Fulltime
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).
As a boutique consultancy, our client engagements cover a broad spectrum of the modern data stack, leveraging platforms like Google Cloud to quickly and iteratively produce Analytics and AI outcomes for our clients.
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.
Fastloopers are technology and consulting experts who want to understand how our customers companies’ operate from the inside out. We are passionate about adding significant operational value, treating our clients' businesses as our own. We are problem solvers who like to roll up our sleeves and accelerate digital transformation journeys - always leveraging data as our foundation.
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.
- Cloud Expertise:
- GCP services: Cloud Run, Kubernetes (GKE), BigQuery, Firestore, IAM, Pub/Sub, Looker, Vertex AI.
- 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, HIPPA).
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 preffered.
Ready to join the team?
