AI Engineer

Role Overview

The AI Engineer (Full Stack Engineering) designs, develops, tests, deploys, and maintains modern cloud-native applications using an AI-first engineering model. This role requires strong full-stack capability, upfront architecture and specification skills, responsible use of AI coding assistants, and ownership of quality, security, reliability, and production readiness.

Responsibilities

• Apply AI-first engineering practices across discovery, requirements, design, development, testing, deployment, operations, and continuous improvement.
• Translate business outcomes into clear technical specifications, architecture decisions, NFRs, design notes, and acceptance criteria.
• Build secure, scalable, resilient, observable, and maintainable full-stack solutions.
• Use AI responsibly to improve engineering productivity and software delivery quality.
• Partner with product, architecture, security, operations, and business teams to deliver aligned outcomes.
• Support incident resolution, automation, simplification, and continuous improvement activities.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent experience.
• At least 3 years of experience developing enterprise applications using modern full-stack, API, data, and cloud technologies.
• Hands-on experience with AI-assisted software delivery, GitHub Enterprise, and GitHub Copilot.
• Exposure to Azure AI Foundry, Copilot SDK, Semantic Kernel, AI agents, RAG, and LLM application patterns is preferred.
• Strong knowledge of Agile, DevOps, CI/CD, automated testing, API-first development, domain-driven design, and shift-left quality and security practices.
• Ability to clearly articulate requirements, design intent, constraints, trade-offs, and outcomes for people and AI-assisted platforms.

Skills

• Microsoft Azure
• Java
• Spring Boot
• ReactJS
• GitHub Copilot