Sr. AI Data Engineer Remote

Overview

Turnitin, an AI-focused leader in the educational and research sectors, has been at the forefront of promoting academic integrity and innovation for over two decades. We are renowned for our cutting-edge solutions which have been embraced by thousands of academic institutions, corporations, and publishers worldwide.

We offer remote work as a standard arrangement and value diversity, respecting local cultures and individual choices. We are a remote-first employer with an office in Newcastle (UK) and colleagues across the globe. Our team is diverse yet unified by a shared commitment to making a significant impact in education.

AI and data science are integral to our success and ambitious product roadmap. As a Senior AI Data Engineer, you will join a global team of proactive, supportive, and independent professionals delivering sophisticated, well-structured AI and data systems. You’ll help pioneer our next-generation data and AI pipelines to scale our impact and collaborate with different teams to integrate AI and data science across a broad suite of products that enhance learning, teaching, and academic integrity.

• AI Data Infrastructure & Pipeline Management for Applied AI:
  Design, build, and operate scalable real-time data pipelines that support ongoing Applied AI model training. Deploy and maintain robust data infrastructure using AI techniques and engineering best practices to ensure continuous model improvement and deployment cycles.
• Data Collection:
  Execute initiatives for collecting, normalizing, and storing data across multiple sources, including external LLM providers.
• Collaboration:
  
  Partner with AI R&D, Applied AI, and Data Platform teams to ensure seamless data flow and quality standards. Partner with stakeholders to collect, curate, and catalog high-quality datasets that directly support Applied AI retraining workflows and business objectives.
• AI R&D Support:
  Provide secondary support to AI Research & Development efforts by applying advanced data warehousing and engineering technologies. Contribute to exploratory data initiatives that uncover insights from Turnitin's extensive data resources.
• Communication:
  Maintain clear communication channels across teams, ensuring alignment with company vision while sharing insights on data infrastructure needs and potential innovations.
• Technology Evolution:
  Stay current with emerging tools and methodologies in AI data engineering, bringing recommendations to enhance our AI data infrastructure and capabilities.

Required Qualifications:

• At least 4 years of experience in data engineering, ideally focused on AI/ML data infrastructure or enabling and accelerating AI R&D.
• Strong proficiency in Python, SQL, and Infrastructure as Code (Terraform, Cloud Formation), with additional experience in modern orchestration frameworks (Airflow, Prefect, or dbt).
• Proficiency with cloud-native data platforms (AWS, Azure, GCP) and vector databases (Pinecone, Weaviate, Qdrant, or Chroma).
• Experience with MLOps tools and platforms (Hugging Face, Sage Maker Bedrock, Vertex AI), experiment tracking (MLflow, Weights & Biases), and model deployment pipelines.
• Experience with Large Language Models (LLMs), embedding generation, retrieval-augmented generation (RAG) systems, and frameworks for orchestrating LLM interaction (LiteLLM, Lang Fuse, Lang Chain, Llama Index).
• Strong problem-solving, analytical, and communication skills, with the ability to design scalable AI data systems and collaborate effectively in cross-functional teams.

Desired

Qualifications:

• 6+ years of experience in data engineering with a focus on AI and machine learning projects.
• Experience in a technical leadership or mentorship role.
• Experience in education, EdTech, or academic integrity sectors.
• Experience using AI coding tools (Cursor, Claude Code, Git Hub Copilot) for accelerated development.
• Familiarity with natural language processing, computer vision, or multimodal AI applications.
• Experience with data visualization (Streamlit) and data reporting.

As a Senior AI Data Engineer, you should possess:

• A passion for creatively solving complex data problems.
• The…