AI Engineer
We’re looking for a skilled AI Engineer to build and manage our end-to-end AI pipelines and support the team migration to an AI agents based development. You’ll focus on Retrieval-Augmented Generation (RAG) integration and Large Language Model (LLM) deployment across on-premise infrastructure and AWS Bedrock.
What You’ll Do
Key Responsibilities
- Develop & Manage AI Pipelines: Design, build, and maintain robust AI/ML pipelines for data, training, and deployment. Implement MLOps best practices (CI/CD, monitoring).
- AWS Bedrock Expertise: Architect and implement AI solutions using AWS Bedrock services, including foundational models and custom model integration.
- RAG Integration: Design, develop, and deploy RAG systems to enhance LLMs with external knowledge bases. Optimize vector databases and retrieval mechanisms.
- LLM Management (On-Prem & Bedrock): Handle the full lifecycle of LLMs, from selection and fine-tuning to deployment and monitoring, across both on-premise (GPU, Docker, Kubernetes) and Bedrock environments. Ensure security and optimize performance.
- Collaboration: Work as a part of the R&D team, work closely with the product teams, providing technical guidance and documenting solutions.
- Team enhancement: Support the team in migration to agentic development life cycle
What You Bring
[Hard Skills & Experience]
- Bachelor’s or Master’s in Computer Science, AI, Data Science, or related field.
- 3+ years in AI/ML engineering, building production-grade solutions.
- Hands-on experience with LLMs and RAG architectures.
- Proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain).
- Extensive experience with AWS services, especially Bedrock, SageMaker, S3.
- Experience with on-premise LLM deployment (GPU infrastructure, Docker, Kubernetes).
- Strong understanding of MLOps principles and tools (MLflow, Kubeflow).
- Experience with vector databases (Pinecone, Weaviate) and embedding models.
- Solid software engineering practices (Git, testing)
What Makes You a Great Fit
[Soft Skills & Attributes]
- 3–5+ years of hands-on IT support / systems administration experience.
- Strong ability to work independently and take full ownership of IT operations in an office environment.
- Strong knowledge of Microsoft 365, especially SharePoint site creation and permission management.
- Experience supporting both Windows and MacOS environments.
- Solid understanding of networking fundamentals (TCP/IP, VPNs, Wi-Fi).
- A proactive, resolutive mindset — you don’t wait for problems to happen, you prevent them.
- Strong communication skills and a practical, service-oriented approach.
- Comfortable working onsite and engaging directly with employees and leadership.
Even Better If…
Even Better If…
- Azure AD / Entra ID administration.
- Exposure to cloud infrastructure (Azure, AWS).
- Familiarity with cybersecurity best practices and tooling.
- Experience supporting global or distributed teams.
Why Join Us?
Join our team At CyberproAI, you’ll be part of a global leader in cybersecurity training and solutions, working alongside experts who are shaping the future of cyber defence. We offer a fast-paced, collaborative environment where innovation thrives, and your impact is felt daily.
To apply, please submit your resume and cover letter outlining your relevant experience and why you are interested in joining our team. We look forward to reviewing your application and exploring the possibilities of working together to make a meaningful impact.
Full Time
Hybrid
Mid Level
Israel
YOU’RE APPLYING FOR:
AI Engineer