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.