Generative AI Engineer

About the Role

We are looking for an AI Developer & Implementation Engineer to join our team and take part in the development, implementation, and maintenance of AI and Generative AI solutions , including in secure, isolated On-Premise environments .

The role includes deploying and operating local AI models, developing RAG solutions and AI Agents , integrating AI capabilities with enterprise systems, and leveraging AI-powered development tools such as Claude Code and Claude Team , in accordance with the organization's information security policies.

Key Responsibilities

• Develop and implement AI and LLM solutions , including in On-Premise environments.
• Deploy and operate GPU-based local AI models .
• Develop RAG solutions, AI Agents, and enterprise search engines .
• Install and deploy models using Ollama, vLLM, llama.cpp, Hugging Face , or similar tools.
• Use Claude Code for code generation, code analysis, refactoring, testing, documentation, and development process automation.
• Use Claude Team for knowledge sharing, collaboration, document analysis, and supporting development and engineering processes.
• Adapt and optimize models using Prompt Engineering, Tool Calling, Quantization, and Fine-Tuning .
• Participate in processes for onboarding, scanning, transferring, and deploying models and packages into isolated environments.
• Monitor response times, accuracy, CPU/GPU utilization, memory consumption, and computational costs .

Requirements

• Proven experience in Python software development .
• Experience developing Backend services and REST APIs .
• Hands-on experience working with LLMs and Generative AI solutions .
• Experience deploying and operating local models using Ollama, vLLM, llama.cpp , or similar solutions.
• Experience working with Hugging Face and open-source models .
• Experience developing RAG solutions, Embeddings, and Vector Databases .
• Experience with Linux and Docker .
• Familiarity with GPU servers, CUDA, and compute resource management .
• Experience integrating AI solutions with enterprise systems and internal data sources .
• Experience with Git and CI/CD processes .
• Experience using Claude Code or similar AI-powered software development tools .
• Ability to work in secure, communication-restricted, or air-gapped environments .