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 leading ERP & DMS software and solutions provider to dealers and rental companies of heavy equipment (construction, mining, forestry, material handling, and agriculture).

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

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Role Overview

Confidential Client is building an Applied AI team that operates as an internal, forward-deployed AI strike team. This entry-level engineering role partners with business leaders and subject-matter experts to turn real operational problems into production-ready AI solutions. You will work closely with a Senior Applied AI Engineer to develop agentic systems, RAG pipelines, integrations, tests, and production code that deliver measurable business value.

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What You’ll Do

• Work with functional leaders and subject-matter experts to map business workflows, data sources, constraints, and user needs.
• Translate business problems into technical tasks, prototypes, and production components.
• Develop components for AI agents and multi-agent workflows under mentorship.
• Build retrieval-augmented generation (RAG) pipelines, tool integrations (MCP-style), APIs, and connectors to enterprise apps and data stores.
• Contribute to context, harness, loop, and graph engineering to improve agent performance and reliability.
• Create and maintain evals, tests, monitoring, feedback loops, and technical documentation for production AI systems.
• Write clean, tested, maintainable code; support deployment, troubleshooting, and production operations.
• Capture reusable patterns, prompt templates, eval assets, and implementation playbooks to accelerate future work.
• Share progress, trade-offs, and risks clearly with both technical and nontechnical stakeholders.

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Who You Are (Minimum Qualifications)

• Bachelor’s or Master’s degree recently completed in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related technical discipline.
• Strong programming fundamentals and practical Python experience (projects, coursework, internships, research, or open-source).
• Solid understanding of algorithms, data structures, APIs, databases, testing, version control, and software development practices.
• Foundational experience with AI-enabled applications and concepts such as agents, orchestration, RAG, tool integrations, context engineering, loop engineering, graph engineering, or evals.
• Demonstrated ability to learn unfamiliar business or technical domains, ask focused questions, and convert ambiguity into structured work.
• Clear written and verbal communication; able to collaborate with engineers and business teams.
• Evidence of ownership and initiative from academic, internship, research, or project settings.

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Preferred Skills & Experience

• Internship, hackathon, research, or project experience building ML, AI, automation, or software applications.
• Experience with Git, SQL, REST APIs, cloud platforms, containers, or CI/CD.
• Familiarity with frameworks like LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar.
• Exposure to enterprise SaaS workflows, ERP systems, data migration, or customer support processes.
• A portfolio, GitHub repo, capstone, or other demonstrable technical work.

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What Success Looks Like

• Contributes production-quality code tied to clear business outcomes.
• Quickly learns business workflows and translates them into reliable technical components.
• Takes increasing ownership from design through testing, deployment, and user feedback.
• Produces reusable code, evals, and documentation that speed future projects.
• Grows into a trusted, increasingly independent contributor within the Applied AI team.

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Location & Employment Type

This position is based in Cary, NC. Employment type: Full-time.

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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.