Job Summary
As an LLM Engineer at our forward-thinking education technology company, you will design, develop, and optimize large language model solutions that transform digital learning experiences. The ideal candidate is innovative and technically skilled, with a passion for applying AI to enhance educational content, personalized learning, and academic support tools. You will collaborate with cross-functional teams to deliver scalable, ethical, and high-impact LLM-powered solutions tailored to the needs of students and educators.
Must-Haves:
We are seeking a candidate with proven experience developing and deploying large language models, ideally with applications in education or e-learning. You must be proficient in Python and familiar with leading ML/AI frameworks (such as TensorFlow, PyTorch, or Hugging Face Transformers). A strong understanding of NLP, prompt engineering, and model evaluation is essential. Experience with cloud platforms and a solid grasp of data privacy and ethical AI in education are highly valued. Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders are required.
Responsibilities:
- Design, develop, and optimize LLM-based applications for educational use cases, such as adaptive tutoring, content generation, and automated assessment.
- Fine-tune, evaluate, and maintain LLMs using relevant educational datasets and benchmarks.
- Implement prompt engineering and in-context learning strategies to improve model performance and user experience.
- Collaborate with educators, product managers, and engineers to align LLM solutions with pedagogical goals and user needs.
- Develop and maintain robust, scalable APIs and services for LLM deployment in production environments.
- Ensure data privacy, security, and compliance with educational standards and regulations.
- Document technical processes, model architectures, and evaluation results for internal and external stakeholders.
- Stay current with advancements in LLMs, AI ethics, and educational technology.
Required Skills:
- Advanced proficiency in Python and experience with ML/AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
- Strong background in NLP, deep learning, and prompt engineering.
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (e.g., Docker, Kubernetes).
- Familiarity with MLOps, CI/CD pipelines, and scalable API development.
- Ability to translate complex educational problems into efficient, AI-driven solutions.
- Excellent communication and teamwork skills.
Certifications:
- Certifications in AI, machine learning, or cloud platforms (e.g., AWS Certified Machine Learning, TensorFlow Developer) are a plus but not required.
Required Years of Experience
- Minimum 3 years of experience in AI/ML engineering, with at least 1 year focused on large language models or NLP solutions.
Required Education:
- Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or a related field.
- Advanced degrees or relevant certifications are advantageous.
About Us:
Contemporary Staffing Solutions (CSS) is a trusted leader in providing contract, temporary, temp-to-hire, and direct hire staffing solutions. With decades of experience, we’ve grown from a staffing agency to a nationwide provider of workforce management solutions. Our niche recruitment expertise spans Accounting & Finance, Call Center & Office Support, Human Resources, Sales & Marketing, and Information Technology.
Explore more about CSS and how we connect great talent with exceptional opportunities by visiting www.ContemporaryStaffing.com.
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