AI Engineer RAG, LLM, Python

The Position
Our vision shifts from reactive to predictive, providing a true endpoint- to- vulnerability visibility, and replacing human- intensive manual processes with intelligent AI agents.
In this role, you will provide cybersecurity domain expertise to guide AI model development, validate autonomous security decisions, and ensure our platform meets enterprise security requirements. You will also bridge the gap between cutting- edge AI and practical cybersecurity operations.
Join our team and help build the future of vulnerability management and cybersecurity automation.
We are building an AI- powered autonomous vulnerability management platform that goes beyond traditional scanning and reporting.
What You Will Be Doing:

Implement vector databases for semantic vulnerability search.
Fine- tune large language models on cybersecurity datasets with hundreds of thousands vulnerability identifiers (CVE).
Create AI- powered autonomous patching agents with validation and rollback capabilities.
Optimize model performance for both cloud and local deployment scenarios.
Develop predictive models (LSTM, transformers) for vulnerability exploitation forecasting.
Design and implement multi- agent AI systems using frameworks like CrewAI, LangChain, AutoGen or similar.
Build RAG (Retrieval Augmented Generation) pipelines for vulnerability intelligence synthesis.
Collaborate with security researchers to validate AI model outputs.

Yêu cầu công việc

What We Need From You:

Experience with multi- agent systems and autonomous AI workflows.
Good background in time- series analysis and predictive modeling.
From 3 years experience in AI/ML engineering, preferably in cybersecurity or enterprise software.
Proficiency in Python AI ecosystem: PyTorch/TensorFlow, Transformers, LangChain, LlamaIndex etc.
Deep expertise in LLMs (GPT, Claude, Llama) and their practical applications.
Experience deploying AI models in production environments.
Familiarity with MLOps tools: MLflow, Weights & Biases, or similar.
Understanding of RAG architectures and prompt engineering.
Knowledge of vector databases and embeddings for semantic search.

It Would Be Nice If You Had:

Knowledge of cybersecurity frameworks: MITRE ATT&CK, CVSS, CVE databases.
Background in fine- tuning models on domain- specific datasets.
Familiarity with security- focused AI models (SecurityBERT, etc.).
Experience with local AI deployment (Ollama, vLLM) and air- gapped environments.
Cybersecurity domain knowledge: vulnerability assessment, threat intelligence.
Experience with reinforcement learning for autonomous decision- making.
Open source contributions to AI/ML projects.

Tại sao bạn sẽ yêu thích làm việc tại đây

Attractive compensation, regular assessments, and salary reviews
Nice open office on the top of a building in District 3 with full of accessories for active recreation, sport, fruits, coffee, and tea.
Recognition best employees awards quarterly, yearly and special President Club award every year
Attractive benefits for team activities (team building, team outing, sport, trade union activities)
Extra- health care program (PVI) for employee and family members
Meaningful work with passionate colleagues
15 to 20+ paid day off per year
Stock options for employees
13- month bonus & performance bonus
100% salary, full insurances on probationary period
International working environment in global leading cyber security product company

Cập nhật gần nhất lúc: 2025-10-25 13:30:03