LLM/Prompt Engineer (Fulltime, Remote/Hybride)

About

At Red Alert Labs, we are redefining cybersecurity for the modern digital world. Based in Paris, we are a growing cybersecurity startup that is expanding rapidly. Our team is committed to creating innovative AI-driven solutions that help secure our clients’ cloud infrastructures. We are currently looking for an experienced LLM/Prompt Engineer with strong data science expertise to join our team and work on advancing the AI capabilities embedded within our SaaS platform. This is a long-term opportunity where you’ll work closely with our expert team—learning from the best and contributing to high-impact AI use cases.

What We Offer

  • Flexible Working Options: Full-time, hybrid, or remote – you choose the work setup that suits you best.

  • Long-Term Career Development: The opportunity to grow alongside a startup that’s scaling rapidly.

  • Collaborative Environment: Work directly with senior engineers in a supportive and learning-focused atmosphere.

  • Exciting Challenges: Work on cutting-edge AI and cybersecurity projects that push the boundaries of technology.

Job Description

As a LLM/Prompt Engineer, you will play a pivotal role in improving and expanding the AI capabilities of our SaaS product. You will collaborate closely with our in-house experts, including our Senior AI Master Yoda Engineer, to optimize existing AI models and implement new use cases. This role requires both strong technical skills and a deep understanding of AI technologies, particularly around Large Language Models (LLM) and prompt engineering. In addition, the ideal candidate should have professional data science experience, allowing them to handle data manipulation, analysis, and model development within the context of AI solutions. The position also demands a background in cybersecurity, ensuring that AI-driven applications are secure and reliable.Key Responsibilities

  1. AI Use Case Improvement & Development

* Enhance existing AI use cases integrated into our SaaS platform, ensuring they are optimized for performance and scalability.

* Implement new AI use cases that improve the functionality of our product, leveraging LLM technologies.

  1. Prompt Engineering

* Design and refine prompts to improve the accuracy, relevance, and efficiency of AI responses across various use cases.

* Develop a deep understanding of the behavior of AI models, experimenting with different prompt strategies to achieve optimal results.

  1. Data Science & Analysis

* Apply data science techniques to process, analyze, and manage data for AI training and optimization.

* Conduct statistical analysis, model testing, and validation to improve AI models and their performance in real-world use cases.

  1. Collaboration & Learning

* Work closely with our Senior AI Engineers (including our “Master Yoda”) to learn and implement best practices in AI development.

* Participate in regular knowledge-sharing sessions and contribute to a collaborative, growth-focused environment.

  1. Security Considerations

* Ensure that all AI solutions and use cases are designed with cybersecurity best practices in mind, protecting against potential vulnerabilities and data privacy issues.

  1. Full-Stack Engineering

* Collaborate with the development team to integrate AI use cases into our existing infrastructure, using Node.js, NestJS, TypeScript, Python, and PostgreSQL.

* Troubleshoot, test, and deploy AI models and solutions across our platform.

Preferred Experience

  • Experience: Proficiency in Node.js, NestJS, TypeScript, Python, and PostgreSQL.

  • Data Science Experience: Professional experience in data science, including data manipulation, analysis, and model development. Familiarity with machine learning frameworks and techniques is highly desirable.

  • AI Expertise: Knowledge and experience with LLMs, prompt engineering, and AI model fine-tuning. A background in AI engineering is highly desirable.

  • Cybersecurity Knowledge: A solid understanding of cybersecurity principles and how they apply to AI technologies.

  • Great Communicator: Excellent written and verbal communication skills; you can explain complex technical concepts clearly to both technical and non-technical team members.

  • Language Proficiency: Fluent in French and/or English.

Recruitment Process

  1. Round 1: Motivation and Background – A conversation about your experience, motivation, and how you align with our goals.

  2. Round 2: Technical Interview – We will assess your technical skills, including your proficiency in the required languages and tools, as well as your understanding of AI, prompt engineering, and data science.

  3. Round 3: Team Fit – Meet the team to ensure you’re a great match for our culture and collaborative environment.

If you’re ready to apply your AI and data science skills in a dynamic and fast-growing cybersecurity company, we would love to hear from you. Join Red Alert Labs and be part of a team shaping the future of secure AI solutions!

Additional Information

  • Contract Type: Full-Time
  • Location: Paris
  • Education Level: Master's Degree
  • Experience: > 5 years
  • Possible full remote
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