Senior Analytics Product Engineer, AI & Healthcare Insights

Huron

Oregon

Hybrid

USD 110,000 - 150,000

Full time

12 days ago

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Job summary

Huron's Clinical Insights team is seeking a Solution Advancement Engineer to drive client-facing analytics product delivery and core AI agent platform development. You will own end-to-end delivery of Insights applications—from data pipelines and config to client QC, UAT, and sign-off.

You will contribute to the Insights Agent platform, design LLM agent loops, and build interactive R (Shiny) and Python apps deployed via Posit Connect and a Docker-based mono repo, collaborating with healthcare

Qualifications

  • U.S. work authorization is required.
  • 6+ years of software development, including full-stack ownership.
  • Strong Python, working knowledge of R for Shiny analytics.
  • Experience with LLM/agent-based app development and structured outputs.
  • Docker/containerized deployment expertise with rollback and scripts.
  • Proven end-to-end client-facing analytics product ownership.

Responsibilities

  • Own end-to-end delivery of Insights applications across multiple client engagements, from data pipelines to client QC and sign-off.
  • Design and build LLM agent capabilities, subagent patterns, and evaluation frameworks.
  • Maintain and extend Docker-based mono repo deployment infrastructure and CI/CD.
  • Work with AWS data lake infrastructure (Athena, S3, RDS) to support client data pipelines.
  • Translate feedback into architectural and UX decisions; mentor engineers and influence product direction.

Skills

Python
R
Shiny
LLM Agents
Docker
AWS
Pydantic AI

Education

Bachelor's degree in CS/DS/Engineering or related

Tools

Posit Connect
Athena
S3
Snowflake

Job description

Huron's Clinical Insights team is seeking a Solution Advancement Engineer to drive client-facing analytics product delivery and core AI agent platform development. You will own end-to-end delivery of Insights applications—from data pipelines and config to client QC, UAT, and sign-off.

You will contribute to the Insights Agent platform, design LLM agent loops, and build interactive R (Shiny) and Python apps deployed via Posit Connect and a Docker-based mono repo, collaborating with healthcare

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