AIFANO

Backend Engineer

• Designing and implementing data models to support AI-driven applications
• Developing scalable data pipelines using Supabase, Prisma, and event-driven architectures
• Supporting backend teams in database architecture, query optimization, and API development
• Investigating and implementing prompt engineering techniques for AI model optimization
• Researching and applying machine learning technologies to extract and process enterprise data
• Ensuring data integrity, security, and performance across distributed systems
• Collaborating with AI engineers to integrate foundation models into enterprise workflows
• Writing clean, testable, and well-documented code for data infrastructure and services

Data Engineer – AI, Backend Support

DevOps Engineer

• Designing, implementing, and maintaining CI/CD pipelines for seamless deployments
• Setting up and managing cloud infrastructure on AWS, GCP, or Azure
• Implementing monitoring, logging, and alerting solutions using Grafana, Logstash, Prometheus, and ELK Stack
• Managing containerized applications using Docker and Kubernetes
• Ensuring system reliability, scalability, and security best practices
• Automating infrastructure as code (IaC) using Terraform or Pulumi
• Working closely with the development team to optimize deployments and performance
• Troubleshooting production issues and ensuring high availability of AI-powered applications