About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, a freight audit & business analytics technology company.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

---

Overview

Confidential Client is building an AI Platform & Enablement function to scale agent-driven automation across Finance, Operations and Customer Support. This is an entry-level AI Platform Engineer role focused on building, deploying and operating AI agents and automations that integrate with internal systems. You will work closely with the team lead to deliver production-ready solutions and grow your platform engineering skills.

---

What You’ll Do

• Build and improve AI agents and automations for teams such as Finance, Operations and Customer Support, working with the team lead on priorities and implementation.
• Prototype AI workflows, test outcomes, and use data to demonstrate time saved or improved outcomes before wider rollout.
• Develop Python applications, APIs and scripts that connect AI tools to internal systems.
• Contribute to the AI infrastructure that supports automations, following security, privacy and data-handling practices.
• Test and review AI‑generated code and model outputs; validate results and document verification steps.
• Document workflows, prompts and runbooks; share examples and onboarding material to help colleagues adopt AI tools.
• Build and manage multi-agent workflows and agent-assisted coding tasks, checking results and escalating risks or questions.
• Deploy and operate AI services using Docker and Linux; learn and use existing CI/CD pipelines (e.g., GitHub Actions, Jenkins).
• Help set up monitoring and alerts; review logs, investigate failures and implement reviewed fixes.
• Collaborate with stakeholders to gather automation requirements, communicate progress, and iterate on solutions.

---

What You’ll Bring

• Working skills in Python and shell scripting demonstrated via coursework, internships or personal projects.
• Hands-on experience using LLMs or AI APIs to build a tool, hackathon project, or prototype.
• Basic software development practices: testing, Git, documentation and code review, with a willingness to develop further.
• Practical exposure to multi-agent workflows or agent-assisted coding projects and the ability to explain how you validated outputs.
• Comfort on the Linux command line and with source control (Git).
• Exposure to Docker, cloud services (e.g., AWS, DigitalOcean) or CI/CD through classes, internships or personal projects.
• A habit of validating AI output and ensuring solutions work reliably before production use.
• Strong problem-solving, attention to detail, and a willingness to ask for help and learn from feedback.
• Clear communication and collaboration skills; ability to manage multiple tasks with guidance.

---

Minimum Qualifications

• Bachelor’s degree (completed or near completion) in Computer Science, Software Engineering, Information Systems or a related field.
• Entry-level candidates are encouraged to apply — coursework, internships and personal projects that demonstrate the above skills are acceptable.
• A practical example of an AI or automation project you built, tested and can discuss (including validation and lessons learned).
• Willingness to build, deploy and support AI tools while learning directly 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 model evaluation techniques.
• Internship or project experience in DevOps, SRE or platform engineering.
• Experience taking AI agents or automations beyond prototype to more robust implementations.

---

Hours & Employment Type

• Full-time (Contractor / Full-time engagement listed by Confidential Client). Typical schedule: Monday–Friday.

---

Compensation & Benefits

• Estimated base salary: $124,381 per year (estimated). Final compensation and benefits are determined by Confidential Client and will depend on experience and role specifics.
• Benefits and additional details will be provided by Confidential Client during the interview / offer process.

---

Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.