Senior Data Engineer - AI

📋 Description

• Contribute to the data architecture, design, and deployment of scalable Generative AI and Machine
• Develop end-to-end GenAI features, including backend API services, model integration, model
• Integrate and optimise LLMs for specific use cases in business planning, including prompt
• Design and build the retrieval and knowledge layer powering our RAG and agentic workloads, such as
• Help design the knowledge graph that captures the semantics of customer models, metrics
• Build the data plane for evaluation and continuous improvement, working with cutting-edge

🎯 Requirements

• Extensive data engineering experience with a track record of delivering complex projects.
• Hands-on experience building and shipping AI/ML products in production.
• Practical experience with LLM-based systems: RAG architectures, embedding pipelines, prompt and
• Hands-on expertise with vector databases, graph databases, and knowledge graphs.
• End-to-end exposure to the model development lifecycle, including experience training and deploying
• Solid knowledge of LLM APIs, prompt engineering, and conversational AI patterns.

🎁 Benefits

• Hands-on experience with cloud-native ML infrastructure platforms.
• Knowledge of vector databases (e.g., Pinecone, Weaviate, Qdrant) and embedding models.
• Experience with model serving frameworks (e.g., vLLM, TensorRT, Ray).
• Background in forecasting, planning, or analytics applications.
• Experience with A/B testing and experimentation frameworks for AI features.
• Experience with model observability tools (e.g., LangSmith, W&B, MLflow).