Job Title: Data Engineer – LLM & Generative AI
Location: Columbus, OH
Schedule: Hybrid | Monday–Friday | 1st Shift
Contract: 6-Month Contract with Potential for Extension
Compensation: $85 – $110 per hour
Position Overview
HRU Technical Resources is seeking a highly skilled and forward-thinking Data Engineer to help lead the integration of Large Language Models (LLMs) and Generative AI systems into our enterprise data ecosystem.
In this role, you will design and operationalize intelligent data pipelines and interfaces that seamlessly connect curated enterprise data with advanced AI models. You’ll be at the intersection of data engineering and AI innovation, ensuring secure, scalable, and high-performance systems that power next-generation, language-driven applications.
Key Responsibilities
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Design, build, and optimize data pipelines supporting LLM-powered systems and AI-driven applications.
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Integrate Generative AI and LLM technologies (e.g., OpenAI, Anthropic, Azure OpenAI, LLaMA, Mistral) with curated enterprise datasets.
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Develop and maintain retrieval-augmented generation (RAG) pipelines connecting structured and unstructured data to AI model contexts.
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Collaborate with data scientists, ML engineers, and AI researchers to align data readiness with model performance needs.
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Implement agentic system architectures using frameworks like LangChain, Semantic Kernel, or similar.
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Enforce AI security, compliance, and data governance best practices.
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Automate evaluation, fine-tuning, and deployment workflows for LLMs and Generative AI models.
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Monitor, optimize, and troubleshoot AI data pipelines for scalability, reliability, and accuracy.
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Create detailed documentation and playbooks for AI-driven data engineering processes and integrations.
Required Skills & Qualifications
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Proven experience as a Data Engineer or ML Engineer integrating LLMs or Generative AI systems.
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Strong proficiency in Python, SQL, and distributed data frameworks (e.g., Spark, Azure DataBricks).
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Hands-on experience with RAG architectures, vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS), and embedding pipelines.
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Familiarity with frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
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Experience implementing secure and compliant AI pipelines, with understanding of prompt injection defenses and data privacy principles.
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Proficiency with cloud-based AI infrastructure, preferably Azure AI Services, Azure DataBricks, and Azure OpenAI Service.
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Excellent problem-solving, communication, and collaboration skills.
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Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent professional experience.
Preferred Qualifications
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Experience fine-tuning or customizing LLMs for enterprise applications.
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Familiarity with MLflow, MLOps practices, and CI/CD pipelines for model deployment.
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Knowledge of medallion data architecture and Delta Lake for AI-ready data management.
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Experience with real-time data streaming systems (e.g., Kafka, Event Hubs).
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Contributions to open-source AI frameworks or enterprise-level AI integrations.
Why Join HRU Technical Resources
At HRU, we connect top talent with forward-thinking organizations tackling the next wave of technological innovation. This is your opportunity to:
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Work on cutting-edge Generative AI and LLM integration projects.
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Influence data architecture and AI enablement strategies at scale.
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Collaborate with a multidisciplinary team of experts in AI, data, and cloud engineering.
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Earn competitive compensation and gain valuable experience in AI infrastructure development.
The Process: To apply for this position, please follow these steps: Apply for this job with your current resume. We’ll get back to you the same day with some feedback on your application. Next you’ll be invited to an online screening conversation so we can go over the job requirements together and you can ask questions. After this stage we’ll give you more feedback on your application and select the candidates to move forward in the process. Typically steps 1 to 4 takes less than 24 hours.
Equal Opportunity Employer
HRU is an Equal Opportunity Employer. We 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, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.