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 Big Query, Postgre
  
  SQL.
• 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, Git Hub 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 Postgre
  
  SQL, Firestore, and Big Query.
• 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.
• Dev Ops & CI/CD: Experience with Cloud Build, Git Hub 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.