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 technology staffing and workforce solutions company.

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

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What You’ll Do

This entry-level Junior AI Engineer role gives you hands-on experience building production-ready AI-enabled applications and data solutions. You will work with experienced engineers and architects to create reference implementations, experiment with emerging tools, and help shape standards and best practices.

• Design, build, and deploy AI-enabled applications and agentic workflows that provide grounded answers from enterprise data
• Build and tune retrieval-augmented generation (RAG) solutions — chunking strategy, embedding generation, and vector search
• Test and refine generative AI solutions, including prompt/instruction engineering and accuracy validation
• Curate and prepare source data for retrieval and agent use, collaborating with data engineers on required transformations
• Support data engineering tasks that enable AI/data solutions (pipelines, ETL, data modeling)
• Assist in evaluating and recommending models, tools, and cloud/data platforms (Databricks, GCP, etc.)
• Produce clear technical documentation and communicate technical concepts to both technical and business stakeholders
• Create reference code and prototypes, explore new technologies, and help define team best practices

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Qualifications (Required)

• Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related discipline
• 0–2 years of experience — internships, co-ops, academic projects, and personal projects count
• Proficiency in Python (coding, testing, basic software principles)
• Practical understanding of data pipelines, relational data, and modern data stores
• Hands-on experience building or developing AI agents and familiarity with agent architecture
• Ability to use generative AI tools to explore problems and prototype solutions quickly
• Strong written and verbal communication skills; comfortable interacting with technical and business audiences
• Self-motivated, curious, eager to learn, and able to take direction in a junior role

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Preferred Qualifications

• SQL proficiency and deeper understanding of relational data
• Exposure to retrieval-augmented generation (embeddings, chunking, vector search)
• Experience with Databricks, Google Cloud Platform (GCP), or other cloud data platforms
• Experience or interest in natural-language-to-data interfaces and prompt engineering

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Compensation & Schedule

• Pay Range: $33.52/hr – $38.52/hr
• Employment type: Part-time (hybrid)
• Work model: Primarily remote with required monthly on-site meetings in the Carson, PA area

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Benefits

Careertakes’ client offers a benefits package that may include:

• Medical, Dental, and Vision Insurance
• 401(k) Retirement Plan
• Health Savings Account (HSA)
• Short- and Long-Term Disability Insurance
• Life and AD&D Insurance
• Paid Sick Leave (where required by applicable law)
• Supplemental insurance plans (e.g., identity-theft protection, pet insurance)
• Employee Wellness Programs and Employee Assistance Program (EAP)
• Career growth and professional development opportunities

Benefits eligibility and details vary by employment status, length of service, and work location.

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Location & Work Model

This is a hybrid role based in Carson, PA (primary remote work). Candidates must reside in or near Carson, PA and be able to attend monthly on-site team meetings.

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Who Should Apply

This role is ideal for recent graduates or early-career engineers with a strong foundation in Python, a passion for AI and data engineering, and a desire to move from projects into professional engineering. If you enjoy coding, rapid prototyping, learning new models and tools, and explaining technical ideas clearly to varied audiences, you should apply.

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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.