[Hiring] Senior AI/Deep Learning Engineer @DevKit

Role Description

We are looking for a Senior Deep Learning / LLM Engineer to contribute to the development and improvement of internal LLMs focused on cybersecurity, security auditing, vulnerability analysis, and secure code analysis.

The key requirement is a deep technical understanding of modern LLMs and systems such as Claude. We are not looking for someone who simply uses Claude Code, Codex, or similar tools — the candidate should understand how these models work, are trained, evaluated, and improved.

• Develop, train, fine-tune, and evaluate LLMs.
• Build and curate high-quality datasets for LLM training.
• Work with Transformers, Deep Learning, SFT, RLHF/RLAIF, embeddings, and model evaluation.
• Analyze model behavior, failures, reasoning, and code-generation capabilities.
• Improve LLM performance for cybersecurity and code-analysis tasks.
• Build training and evaluation pipelines.
• Work with security experts to transform cybersecurity knowledge into training data.

Qualifications

• Strong Deep Learning / Machine Learning background.
• Hands-on experience with LLMs and Transformer architectures.
• Deep understanding of how models such as Claude operate.
• Experience with LLM training, fine-tuning, evaluation, and dataset preparation.
• Strong Python and modern ML/DL frameworks.
• Understanding of tokenization, attention, embeddings, inference, context management, and post-training techniques.
• Experience with agentic/tool-use or coding LLMs is highly valuable.

Requirements

• A long-term role in a stable, fast-growing company.
• Flexible working hours with a results-oriented approach.
• Competitive salary and benefits package (vacation, sick leave, national holidays).
• Comfortable workspace, corporate events, and team-building.
• Continuous learning, professional growth, and skill development.

Key Profile

The right candidate should have a strong understanding of LLM architecture, training/fine-tuning, dataset creation, and model evaluation.