Senior GenAI Data Engineer – Production ML Systems

Anaplan

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Job summary

Anaplanners seeks a Senior Data Engineer to shape AI-driven scenario planning platforms. You will work across the full stack from data ingestion to governance, building real-time user-facing AI features that drive strategic decisions.

You will combine strong data engineering with ML/AI capabilities, delivering production-grade GenAI solutions and scalable pipelines in a fast-paced enterprise environment.

Qualifications

  • Extensive data engineering experience with complex projects.
  • Hands-on production-grade AI/ML product delivery.
  • Practical work with RAG, embeddings, and evaluation frameworks.
  • Experience with vector/knowledge graphs and related databases.
  • End-to-end model development lifecycle incl. training and deployment.
  • Strong command of LLM APIs, prompts, and conversational patterns.
  • Proficient in MLOps/LLMOps and scalable deployments.
  • Python and modern software development practices (CI/CD, testing).

Responsibilities

  • Contribute to data architecture, design and deployment of GenAI systems.
  • Develop end-to-end GenAI features including backend services and monitoring.
  • Integrate LLMs for business planning and RAG implementations.
  • Design knowledge graphs and retrieval layers for enterprise data.
  • Build data pipelines for forecasting and anomaly detection at scale.
  • Create evaluation frameworks for GenAI feature quality.

Skills

Data engineering
AI/ML product experience
LLM-based systems
Vector/graph databases
Model development lifecycle
LLM APIs & prompt engineering
MLOps / LLMOps
Python / CI-CD

Tools

Pinecone
Weaviate
Qdrant
vLLM
TensorRT
Ray
LangSmith / MLflow / Weights & Biases

Job description

Anaplanners seeks a Senior Data Engineer to shape AI-driven scenario planning platforms. You will work across the full stack from data ingestion to governance, building real-time user-facing AI features that drive strategic decisions.

You will combine strong data engineering with ML/AI capabilities, delivering production-grade GenAI solutions and scalable pipelines in a fast-paced enterprise environment.

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