Role OverviewWe are seeking a Senior AI Engineer with deep experience building production-grade AI solutions using Claude, combined with a strong background in data engineering and modern data platforms, including Databricks.
What You Will Do
Design, build, and operationalize enterprise AI applications that integrate large language models with governed enterprise data.
Why It Might Be a Fit
The ideal candidate combines AI/LLM engineering, software development, and data engineering, and is comfortable taking solutions from architecture and experimentation through production deployment.
Requirements
- 8+ years of software, data engineering, analytics engineering, or related technology experience, with significant recent experience building AI/ML or GenAI solutions.
- Demonstrated, hands-on experience developing applications using Anthropic Claude.
- Strong experience integrating commercial LLMs through APIs into production applications.
- Experience developing RAG, agentic AI, tool-calling, or LLM-based enterprise applications.
- Strong programming experience with Python.
- Significant data engineering experience, including Databricks, Apache Spark / PySpark, SQL, Delta Lake, ETL / ELT, data pipelines and integration.
- Experience designing solutions that combine LLMs with enterprise data.
- Understanding of embeddings, vector search, semantic retrieval, context management, and document processing.
- Experience with API development and application/system integration.
- Strong understanding of data governance, data quality, metadata, lineage, security, and access controls.
- Experience with cloud platforms such as Azure, AWS, or Google Cloud.
- Experience implementing CI/CD and modern software engineering practices.
- Ability to independently take a complex AI use case from concept and architecture through working production implementation.
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