Data Engineer

Data Engineer (AI / LLM) - Miami (Hybrid) - up to $190,000

I'm partnering with fast-growing, VC-backed tech companies across Miami that are building AI into their products, and I'm speaking with data engineers who want to work on the data infrastructure behind LLM-powered features.

• Designing and building scalable data pipelines that feed AI and LLM-powered products
• Building retrieval pipelines (RAG), including document processing, chunking, embeddings and vector search
• Preparing and maintaining high-quality datasets for model fine-tuning, evaluation and monitoring
• Owning data quality, reliability and governance across the platform
• Working closely with ML engineers, product and backend teams to take AI features from prototype to production

• 3+ years as a Data Engineer, ideally at a high-growth tech company
• Strong Python and SQL
• Hands-on with modern data tooling such as dbt, Airflow or Spark, and a warehouse like Snowflake, Big Query or Databricks
• Cloud experience (AWS or GCP)
• Practical experience with LLM applications: working with LLM APIs, embeddings and vector databases such as Pinecone, Weaviate or pgvector
• Experience with Lang Chain, Llama Index, model evaluation or streaming data (Kafka) is a plus

• $140,000-$190,000 base, depending on experience, plus equity at start-up level
• The chance to build AI infrastructure early, with real ownership and influence on the product
• Fast-moving teams with strong funding behind them