Remote AI Engineer — LLM & Healthcare Analytics

BPD

Nashville, Boca Raton (TN, FL)

Hybrid

USD 120,000 - 170,000

Full time

14 days+
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Job summary

BPD is hiring a mid-level AI Engineer to build and scale AI systems behind Violet and the ThirdBase analytics platform. You will work hands-on with large language models, retrieval systems, and healthcare data, turning a governed data warehouse into trustworthy, natural-language analytics.

You will own end-to-end components, collaborate with senior engineers, and grow into larger systems with clear technical direction. Experience with LLMs, AI workflows, and data privacy is essential.

Qualifications

  • 2–4 years building production software, including hands-on experience with LLM/GenAI applications (RAG, agents, or text-to-SQL).
  • Solid Python and SQL; comfort querying a cloud data warehouse (Snowflake a plus).
  • Working knowledge of AWS and deploying services in the cloud.
  • Substantive experience in LangGraph, CrewAI, n8n, or other agentic frameworks.
  • Experience in AI-assisted coding and CICD processes.
  • Exposure to retrieval systems, embeddings, or vector search.
  • Understanding of prompt engineering and LLM guardrails.
  • Awareness of data privacy and compliance basics.

Responsibilities

  • Build and scale LLM-powered analytics features, including agentic workflows and RAG.
  • Develop text-to-SQL and semantic-layer systems for safe healthcare data querying.
  • Create retrieval pipelines over document stores and vector databases.
  • Implement evaluation, guardrails, and hallucination checks for domain data.
  • Enforce data-governance and compliance controls in the AI layer.

Skills

Python
SQL
AWS
LLM/GenAI
CICD
Retrieval systems
Embeddings
Vector search
Prompt engineering
Data privacy

Tools

LangGraph
CrewAI
n8n

Job description

BPD is hiring a mid-level AI Engineer to build and scale AI systems behind Violet and the ThirdBase analytics platform. You will work hands-on with large language models, retrieval systems, and healthcare data, turning a governed data warehouse into trustworthy, natural-language analytics.

You will own end-to-end components, collaborate with senior engineers, and grow into larger systems with clear technical direction. Experience with LLMs, AI workflows, and data privacy is essential.

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