Mid Backend AI Engineer — Healthcare Data & AI

Harrison Clarke

Palo Alto (CA)

On-site

USD 150,000 - 210,000

Full time

14 days+
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Job summary

Harrison Clarke is seeking a mid-level Backend / AI Engineer to join the engineering team in Palo Alto. You’ll own core systems powering the company’s AI platform, building production services and AI-powered workflows for healthcare data and clinical processes.

This hands-on role moves between backend engineering, data, and applied AI. You’ll collaborate with senior engineers, product, and domain experts to design scalable solutions, emphasize reliability, and ship production-ready systems in a

Qualifications

  • 3–5 years of professional software engineering experience.
  • Strong backend fundamentals and production systems experience.
  • Experience with Python and API frameworks (FastAPI, Django, Flask) and AI/LLM integration.

Responsibilities

  • Design, build, and operate scalable backend services and APIs.
  • Develop AI-powered workflows using modern LLM technologies.
  • Build data pipelines and infrastructure for AI applications.
  • Work with LLMs, vector databases, embeddings, agents, and evaluation frameworks.
  • Own projects end-to-end from design to deployment.
  • Improve reliability, observability, performance, and scalability.
  • Collaborate with product and domain experts on healthcare workflows.
  • Contribute to architectural decisions and engineering practices.
  • Prototype new ideas rapidly while maintaining production quality.
  • Integrate AI systems with external and enterprise datasets.

Skills

Python
API development
Distributed systems
LLM integration
Quality & testing

Tools

FastAPI
Django
Flask
Go
Java
LangChain
LangGraph
OpenAI
Anthropic

Job description

Harrison Clarke is seeking a mid-level Backend / AI Engineer to join the engineering team in Palo Alto. You’ll own core systems powering the company’s AI platform, building production services and AI-powered workflows for healthcare data and clinical processes.

This hands-on role moves between backend engineering, data, and applied AI. You’ll collaborate with senior engineers, product, and domain experts to design scalable solutions, emphasize reliability, and ship production-ready systems in a

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