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python machine learning mlops rag genai📋 Description
- You will work across the full stack of Anaplan AI applications.
- Build real-time, user-facing AI features shaping business planning and decisions.
- Develop GenAI capabilities from the ground up: model integration, prompt engineering.
- Contribute to data ingestion, transformation, storage, serving, and governance.
- Lead the technical direction for data powering LLM-based and agentic systems.
🎯 Requirements
- Extensive data engineering experience delivering complex projects.
- Hands-on experience building and shipping AI/ML products in production.
- Practical experience with LLM-based systems: RAG, embeddings, prompt logging, evals.
- Hands-on expertise with vector databases, graph databases, and knowledge graphs.
- End-to-end model lifecycle: training and deploying ML models in production.
- Proficiency in Python and modern software practices (testing, CI/CD).
🎁 Benefits
- Winning culture focused on innovation and growth.
- Shape AI-enabled planning across the product.
- Diverse, inclusive team with development opportunities.
- Collaborative, global teams across geographies.
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