AI SW Engineer

About the role

As an AI Software Engineer, you will be responsible for the end-to-end development, deployment, and support of enterprise-grade AI and software solutions. This includes evaluating and selecting technologies, designing scalable architectures, developing applications, managing infrastructure, implementing CI/CD pipelines, overseeing deployments, and providing ongoing production support.

What you'll do

• Evaluate business requirements and select appropriate technology stacks, application frameworks, databases, and deployment architectures for AI and non-AI solutions
• Design, develop, and maintain AI-powered and web applications using Python, Django/Flask, FastAPI, React, REST APIs, LLMs, RAG
• Provision and manage application infrastructure across OpenStack and Azure, including VMs, application hosting, Nginx, HTTPS/TLS, and supporting services. (NSSM)
• Manage Azure identity and application authentication, including Microsoft Entra ID (Azure AD), App Registrations, application permissions, OAuth-based authentication
• Establish and maintain GitLab repositories, contributor access, branching/code-review workflows, GitLab Runners in VM, and CI/CD pipelines

What you need

• 5–8 years in software engineering
• Git
• REST APIs
• Python
• JavaScript
• PostgreSQL
• LLMs
• Any graduate

Good to have

• Docker
• Kubernetes
• Machine learning
• Power BI
• Power Apps
• Terraform