AI Platform Engineer

This is a Fully Remote Job
About Our Client:
Intelligent Audit operates in the freight audit and business analytics technology sector, focusing on improving shipping efficiency for customers by leveraging big data, automation, and advanced analytics. The organization addresses challenges in global transportation spend by helping customers ship faster, more cost-effectively, and with fewer delivery exceptions.
About the Opportunity:
The AI PLATFORM ENGINEER is an entry-level role within the AI Platform & Enablement team, responsible for building, deploying, and maintaining AI tools that enhance various business workflows. This position contributes by developing AI agents and automations that improve operational efficiency and supports the evolution of AI infrastructure under team leadership.
Responsibilities:
Build and enhance AI agents and automations for departments such as Finance, Operations, and Customer Support.
Prototype AI workflows, validate results, and analyze data to demonstrate efficiency gains.
Develop Python applications, APIs, and scripts to integrate AI tools with internal systems.
Assist in building and improving AI infrastructure with team lead guidance.
Test and review AI-generated code and outputs, adhering to security and data-handling protocols.
Document workflows, prompts, and procedures to facilitate effective AI tool usage.
Manage multi-agent workflows and agent-assisted coding tasks, reporting issues to the team lead.
Deploy and maintain AI services using Docker, Linux, and CI/CD pipelines.
Set up monitoring, analyze logs, investigate failures, and implement fixes with oversight.
Collaborate with colleagues to understand needs, communicate progress, and incorporate feedback.
Requirements:
Working knowledge of Python and shell scripting demonstrated through coursework, internships, or projects.
Experience using large language models or AI APIs to build tools or projects.
Understanding of software development practices including testing, Git, documentation, and code review.
Practical experience managing multi-agent workflows and agent-assisted coding.
Proficiency with Linux, Git, and command line.
Exposure to Docker, cloud services (e.g., AWS, DigitalOcean), or CI/CD pipelines.
Interest in automating repetitive business tasks and validating AI outputs.
Strong problem-solving, attention to detail, communication, and collaboration skills.
Ability to manage multiple tasks with guidance and a willingness to learn deployment and operation of AI services.
Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field, recently earned or near completion.
Entry-level candidates considered; relevant coursework, internships, or projects are acceptable.
Example of an AI or automation project with discussion of learning and validation.
Willingness to learn and support AI tools under supervision.
Preferred Qualifications:
SQL and basic database experience.
Familiarity with infrastructure-as-code tools such as Ansible.
Knowledge of agent frameworks, prompt engineering, or model output evaluation.
Experience with DevOps, SRE, or platform engineering through internships or projects.
Experience extending AI agents or automations beyond prototypes.
Pay Range and Compensation Package:
The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

Work arrangement
Yes