Data Engineer - AI, Agents, & Context - Clinical
New
H
HuronHealthcare Technology
United StatesFull-TimeMiddle
Salary$110,000 - $150,000 USD
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Job Details
- Experience
- 3–6 years
- Required Skills
- PythonSQLJavaScalaLLM
Requirements
- BA or BS required, preferably in Computer Science, Engineering, or a technology-based discipline.
- 3–6 years in data engineering or data platform roles with strong hands-on delivery.
- Strong SQL and Python (or Scala/Java) programming skills.
- Experience designing and operating cloud data pipelines at scale.
- Experience working with unstructured data processing and search/retrieval concepts.
- Clear communication skills for working across technical and functional teams.
- Hands-on experience with vector search and embeddings (pgvector/Pinecone/Weaviate/OpenSearch/Elastic) preferred.
- Familiarity with retrieval patterns such as semantic retrieval, hybrid search, and reranking.
- Experience supporting LLM applications like RAG and agent tool interfaces preferred.
- Familiarity with knowledge graphs, semantic modeling, or metrics layers.
- Experience in regulated environments and data governance programs.
- Ability to travel as needed up to 4 times per year.
Responsibilities
- Implement end-to-end AI pipelines including ingestion, parsing, enrichment, embedding, vector indexing, and retrieval.
- Build and maintain patterns for incremental refresh, backfills, re-embeddings, deduplication, and lineage across unstructured sources.
- Contribute to retrieval quality improvements such as query strategies, hybrid search, and metadata filtering.
- Implement governed semantic layers for BI and agent reasoning.
- Ensure data and context contracts for AI inputs are met regarding schemas, metadata, and freshness.
- Support operational excellence through monitoring, alerting, runbooks, and incident response.
- Apply security-by-design patterns including RBAC/ABAC and PII redaction.
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