GenAI Engineer
hace 4 días
City of London
Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants, and more. Responsibilities: • Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases., • Build and fine-tune LLM-based applications such as: • Chatbots, • Document Q&A systems, • Report generators, • Code assistants, • Summarization tools • Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance., • Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js., • Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures., • Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML., • Monitor model performance, detect drift, and drive continuous improvement., • Optimize inference performance and cost through model compression, quantization, and API optimization., • Ensure compliance with AI ethics, security, and governance standards., • Prepare and curate training datasets (structured/unstructured text, images, code)., • Apply data preprocessing, tokenization, and embedding generation techniques., • Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval., • Partner with business stakeholders to identify and shape impactful AI use cases., • Contribute to the development of a strategic AI adoption roadmap and reusable AI Workbench/platform components., • Support POCs, pilots, and full-scale implementations using agile methodologies., • Document and present solution designs, technical findings, and outcomes to leadership and clients. Mandatory Skills Description: • Strong programming skills in Python (preferred), with experience in Java or Node.js., • Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models., • Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning., • Familiarity with RAG pipelines, embedding models, and vector databases., • Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services., • Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML)., • Strong understanding of data engineering, data pipelines, and ETL workflows., • Excellent problem-solving, communication, and stakeholder engagement skills., • Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field.