AI Platform Engineer

About the Role

Intelligent Audit is seeking an entry-level AI Platform Engineer to join the AI Platform & Enablement team. You will work directly with the team lead to develop AI agents and automations that write code, triage tickets, monitor systems, and improve business workflows. This role focuses on delivering impactful AI solutions while developing skills for increasing responsibility.

Key Responsibilities

• Build and improve AI agents and automations for teams like Finance, Operations, and Customer Support.
• Prototype AI workflows, test results, and use data to demonstrate time savings or outcome improvements.
• Develop Python applications, APIs, and scripts to connect AI tools to internal systems via APIs and MCP servers.
• Help build and improve the AI infrastructure supporting IA's automation.
• Test and review AI-generated code and model output, adhering to security, privacy, access control, and data-handling practices.
• Document workflows, prompts, and operating procedures, sharing examples for effective AI tool usage.
• Build and manage multi-agent workflows and agent-assisted coding tasks, checking results and raising questions or risks.
• Deploy and run AI services using Docker, Linux, and existing CI/CD pipelines (e.g., GitHub Actions, Jenkins).
• Set up monitoring and alerts for services, read logs, investigate failures, and implement fixes.
• Collaborate with colleagues to understand automation needs, communicate progress, manage tasks, and refine solutions based on feedback.

Requirements & Tech Stack

• Working skills in Python and some shell scripting.
• Hands-on experience using LLMs or AI APIs to build a tool, project, or hackathon solution.
• Understanding of basic software development practices: testing, Git, documentation, and code review.
• Practical experience managing multi-agent workflows, including agent-assisted coding projects.
• Comfort using Linux, Git, and the command line.
• Exposure to Docker, cloud services (e.g., AWS, DigitalOcean), or CI/CD.
• Curiosity about repetitive business tasks and a willingness to learn automation.
• Habit of validating AI output and checking solution functionality.
• Problem-solving skills, attention to detail, and willingness to learn from feedback.
• Clear communication and collaboration skills.
• Interest in learning AI tooling, deployment practices, and reliable production service operation.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field (recently earned or nearing completion).
• Entry-level candidates are welcome; coursework, internships, and personal projects can demonstrate skills.
• A practical example of an AI or automation project you built, tested, and can discuss.
• Willingness to build, deploy, and support AI tools while learning from the team lead.

Preferred Qualifications

• SQL and basic database experience.
• Exposure to infrastructure-as-code tools (e.g., Ansible).
• Familiarity with agent frameworks, prompt engineering, or evaluating model output.
• Internship or project involving DevOps, SRE, or platform engineering.
• Experience extending AI agents or automations beyond an initial prototype.