Junior LLM Engineer

Help us build the next generation of AI-driven solutions.

Job Overview

As a Junior LLM Engineer, you will play a vital role in designing and optimizing agentic workflows that leverage large language models (LLMs) for marketing automation. Working under senior team members, you’ll help integrate, test, and refine AI-driven solutions that streamline marketing processes and deliver impactful results for our clients.

Key Responsabilities

LLM Workflows & Development

• Assist in designing end-to-end LLM-based workflows focused on marketing use cases.
• Develop and refine AI-driven agents that can autonomously handle tasks such as lead generation, customer segmentation, and content creation.

Prompt Engineering & Fine-Tuning

• Craft effective prompts for large language models to ensure accurate, contextually relevant outputs.
• Fine-tune LLMs with supervised and reinforcement learning methods to adapt to client-specific requirements and industry nuances.

Data Pipeline Integration

• Collaborate with data teams to ensure seamless data ingestion, cleaning, and normalization for LLM training and inference.
• Maintain documentation of data flow architectures, including input processing and output delivery mechanisms.

Performance Optimization

• Monitor and evaluate model performance metrics, such as latency and accuracy.
• Propose enhancements using caching, distributed workflows, or model compression techniques.

Security & Compliance

• Implement security measures to safeguard sensitive marketing data within LLM-driven workflows.
• Stay updated on compliance standards (GDPR, SOC 2, PCI DSS) and best practices for handling user data.

Collaboration & Communication

• Work closely with senior engineers, data scientists, and marketing stakeholders to gather requirements and provide updates.
• Participate in code reviews to enhance code quality and share insights on AI best practices.

Minimum Qualifications

• Educational background in Computer Science, Data Science, or a related field (or equivalent practical experience).
• 1+ years of professional or internship experience in a programming role (Python, Node.js, or a similar language).
• Basic familiarity with cloud platforms (AWS, Azure, or GCP) for deploying AI services.
• Fundamental understanding of machine learning principles, preferably with exposure to NLP or LLM-related projects.
• Strong communication skills and ability to work in a collaborative, fast-paced environment.

Preferred Qualifications

• Hands-on experience with GPT-based APIs, Hugging Face Transformers, or other LLM frameworks.
• Knowledge of containerization (Docker) and orchestration tools (Kubernetes) in the context of AI workflows.
• Exposure to CI/CD pipelines (Jenkins, GitLab CI/CD, etc.) for automated testing and deployment.
• Understanding of marketing automation tools and CRM platforms (HubSpot, Salesforce, etc.).
• Experience with prompt engineering for large language models or other generative AI solutions.

Why Join AI Ritual?

• Impactful Work: Be part of an innovative team working at the intersection of AI and education.
• Growth Opportunities: Collaborate with industry experts and learn advanced AI technologies, pushing the boundaries of online training.
• Dynamic Environment: Our culture encourages creativity, open communication, and experimentation in pursuit of excellence.
• Competitive Compensation: We offer a comprehensive benefits package and competitive salary aligned with your expertise.

Apply

• Send your resume and a brief cover letter to info@airitual.com with “Junior LLM Engineer Application” in the subject line.
  Please include links to your GitHub/GitLab or any relevant portfolio showcasing your experience with AI, LLMs, or automation.

  Join us in pioneering AI-driven marketing solutions that transform how businesses engage and grow! We look forward to hearing from you.