Cyberark AI Developer 

Mexico, Sinaloa, Culiacán 

70337524

Responsibilities:

• Design and Develop AI Solutions: Build and implement AI-powered applications and workflows on the internal AI platform that solve business problems and improve efficiency.

• Fine-Tune LLMs: Customize and fine-tune large language models (e.g., GPT-style models) to address specific use cases and improve their performance for CyberArk’s needs.

• Knowledge Grounding & Retrieval: Develop and optimize retrieval-augmented generation (RAG) pipelines, incorporating efficient retrieval systems to ground LLM outputs in accurate, up-to-date internal data. Create and maintain indexes (e.g., embedding vectors, knowledge bases) that enable fast and relevant information retrieval for AI solutions.

• Collaborative Solution Building: Work closely with data scientists and the AI Machine Learning Engineer to integrate machine learning models into end-to-end solutions. Coordinate with the AI Platform Architect to ensure your solutions align with architectural standards for security, scalability, and governance, and with the AI Infrastructure Engineer to deploy, monitor, and maintain these AI solutions in production environments.

• Testing and Iteration: Rigorously test AI models and applications, validate their accuracy and effectiveness (including handling of edge cases), and iterate based on feedback and performance metrics.

• Monitor Performance: Monitor and evaluate the performance of deployed AI models and solutions, identifying areas for improvement and implementing necessary adjustments for accuracy, efficiency, and reliability.

• Education: Bachelor’s degree in computer science, engineering, or a related field.

• Experience: 3+ years of experience in software development or AI/ML engineering, with a track record of building or implementing AI-driven solutions.

• LLM & RAG Expertise: Demonstrated experience working with large language models and natural language processing, including fine-tuning models and applying retrieval-augmented generation techniques to ground AI outputs in relevant data.

• Analytical Skills: Strong ability to analyze complex data and model performance metrics, identifying and resolving issues to improve outcomes.

If several of the following apply to you, there’s a high chance that you’d be a fit for our team:

• You care about best practices and what it takes to write and maintain great code

• You care about managing technical debt

• You get end-to-end with solutions early to de-risk them

• Feedback loops – especially with real users – are a highly valued asset

• You love to quickly adopt new tools and languages

• You have curiosity about the AI landscape and continuously learn

The salary range for this position is $95,000 – $140,000/year, plus commissions or discretionary bonus, which will be based on the employee’s performance. Base pay may also vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits.