Senior Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Engineer (AI): Building transformative AI capabilities and data infrastructure for LLM-based and agentic systems with an accent on RAG implementation, vector/graph databases, and model integration. Focus on designing scalable MLOps/LLMOps pipelines and engineering context pipelines for forecasting and anomaly-detection models at customer scale.
Location: Remote (United States)
Company
is an AI-infused scenario planning and analysis platform used by Fortune 50 companies to optimize business decision-making.
What you will do
- Design and deploy scalable Generative AI and Machine Learning systems into production environments.
- Develop end-to-end GenAI features, including backend API services, model monitoring, and evaluation frameworks.
- Implement RAG architectures and optimize LLMs using prompt engineering for business planning use cases.
- Build the retrieval and knowledge layer using vector databases, graph databases, and embedding pipelines.
- Engineer feature and context pipelines for large-scale forecasting and anomaly-detection models.
- Implement evaluation frameworks to measure accuracy, latency, and user satisfaction of AI features.
Requirements
- Extensive data engineering experience delivering complex projects.
- Hands-on experience shipping AI/ML products in production.
- Practical expertise with RAG architectures, embedding pipelines, and LLM evaluation frameworks.
- Proficiency in Python and modern software development practices including CI/CD, testing, and code review.
- Strong expertise in MLOps and LLMOps for reliable and monitorable model deployments.
- Must be based in the United States.
Nice to have
- Experience with cloud-native ML infrastructure and model serving frameworks such as vLLM, TensorRT, or Ray.
- Knowledge of vector databases like Pinecone, Weaviate, or Qdrant.
- Background in forecasting, planning, or analytics applications.
- Experience with model observability tools such as LangSmith, W&B, or MLflow.
Culture & Benefits
- Winning Culture that champions diversity of thought and leadership regardless of title.
- Deep commitment to diversity, equity, inclusion, and belonging (DEIB).
- Opportunity to work with a market-leading platform used by global giants like Coca-Cola and Adobe.
- Environment focused on professional development, strategy-led growth, and disciplined execution.
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