AI Platform Engineer
The AI Platform Engineer at Confidential Client is an entry-level role focused on building, deploying, and maintaining AI tools and automations that enhance business workflows across multiple teams. Working closely with the lead engineer, the role involves developing Python-based AI applications, managing multi-agent workflows, and supporting AI infrastructure using modern DevOps practices. This position offers growth opportunities through hands-on experience with AI technologies, cloud services, and production deployment in a fast-paced analytics environment.
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, IT.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is hiring an entry-level AI Platform Engineer to join the AI Platform & Enablement team and work directly with the team lead to design, build, deploy, and operate AI agents and automations used across finance, operations and customer support.
- Build and improve AI agents and automations, collaborating with the team lead on priorities and implementation.
- Prototype AI workflows, evaluate results, and use data to measure time savings and outcome improvements before broader rollout.
- Develop Python applications, APIs and scripts that connect AI tools to internal systems.
- Contribute to the AI infrastructure supporting automations, with guidance from the team lead.
- Test and review AI-generated code and model output; follow security, privacy, access control and data-handling practices.
- Document workflows, prompts and operating procedures; produce examples to help colleagues adopt AI tools responsibly.
- Build and manage multi-agent workflows and agent-assisted coding tasks; validate outputs and escalate risks or unclear results.
- Deploy and run AI services using Docker and Linux; learn and work with CI/CD pipelines (e.g., GitHub Actions, Jenkins).
- Set up monitoring and alerts; read logs, investigate failures and implement reviewed fixes with guidance.
- Partner with stakeholders to understand automation needs, communicate progress, and iterate on solutions based on feedback.
What You’ll Bring
- Working skills in Python and some shell scripting demonstrated via coursework, internships, or personal projects.
- Hands-on experience using LLMs or AI APIs to build a tool, project or hackathon solution.
- Basic software development practices: testing, Git, documentation and code review, with eagerness to deepen these skills.
- Practical experience managing multi-agent workflows or agent-assisted coding projects, and the ability to explain validation steps.
- Comfort with Linux, Git and the command line.
- Exposure to Docker, cloud services (AWS, DigitalOcean, etc.), or CI/CD from classes, internships, or projects.
- Curiosity about repetitive business tasks and a drive to convert them into reliable automations.
- Habit of validating AI output and confirming solutions work before declaring them complete.
- Strong problem-solving, attention to detail, and willingness to ask for help and learn from feedback.
- Clear communication and collaboration skills; ability to manage multiple tasks with guidance.
- Interest in learning AI tooling, deployment practices, and reliable operation of production services.
Minimum Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Information Systems or related field, recently earned or near completion.
- Entry-level candidates welcome — relevant coursework, internships and personal projects can demonstrate required skills.
- A practical example of an AI or automation project you built, tested and can discuss (including verification steps).
- 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 such as Ansible.
- Familiarity with agent frameworks, prompt engineering or evaluating model output.
- Internship or project experience in DevOps, SRE or platform engineering.
- Experience extending AI agents or automations beyond an initial prototype.
Details
- Location: Saddle Brook, NJ (onsite / local)
- Employment type: Full time; Contract (per posting)
- Schedule: Monday–Friday
- Salary: $70,000–$90,000 per year (range provided by client)
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.
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