AI Engineer (Google Cloud Platform)
Quick Facts Role: AI Engineer (GCP) Description Design, develop, and deploy Generative AI solutions using modern models on Google Cloud Platform. Perform fine-tuning and optimization of LLMs (and other generative models) for industry use cases, and build GenAI/NLP applications. Create scalable AI solutions on GCP, including distributed processing and retrieval-based approaches (RAG) with vector databases.
Responsibilities
Design, develop, and deploy Generative AI solutions using modern model approaches Fine-tune and optimize LLMs for industry-specific applications Build applications leveraging GenAI and NLP Build scalable AI solutions on GCP using distributed processing tools Collaborate with cross-functional teams and translate business needs into AI-based solutions Participate in GenAI research and development initiatives Requirements Minimum 3–4 years of experience Practical experience developing AI and Generative AI applications Excellent Python knowledge Framework experience: LangChain, LangGraph, Hugging Face Transformers Knowledge of fine-tuning, RLHF, and prompt engineering Experience with GCP, especially Vertex AI Familiarity with MLOps/LLMOps best practices Experience with data pipelines, vector databases (FAISS, Pinecone), and RAG Strong teamwork and communication skills; comfort working with international clients English proficiency for daily written and spoken communication (B2/C1)
Benefits
B2B cooperation model 100% remote work Work on an innovative Generative AI project Opportunity to work with modern AI models and solutions Collaboration with international clients and teams Participation in GenAI R&D initiatives