GenAI Engineer (Gemini / Vertex AI)

In4ge is a recruitment company focused on connecting talented employees with suitable companies to create synergistic relationships that contribute to growth and success. The client is a dynamically developing organization implementing breakthrough technological solutions.

• Proven experience in building and deploying applications based on large language models (LLM) at production scale.
• Practical, deep knowledge of the Vertex AI platform and Gemini models.
• Experience implementing RAG systems using frameworks such as LangChain or LlamaIndex.
• Knowledge of vector data processing and storage techniques (e.g., Vertex Vector Search).
• Very good knowledge of Python and the FastAPI framework for building scalable microservices.
• Practical knowledge of prompt engineering and model response evaluation methods (evals).
• Creativity in problem-solving, independence, and passion for Generative AI technologies.

• Designing and implementing production applications using GenAI models and Gemini API.
• Building advanced information retrieval architectures based on Retrieval-Augmented Generation (RAG) and embeddings.
• Integrating LLM solutions with vector database systems and optimizing semantic search mechanisms.
• Creating efficient backend API services for communication with AI models.
• Designing, testing, and optimizing prompts (prompt engineering) and implementing model evaluation systems (evals) to ensure high quality and repeatability of results.