GenAI Applications Engineer — Production AI & Integrations

GE HealthCare; Milwaukee (WI); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Relocation assistance provided

Job summary

GE HealthCare is seeking an AI Applications Engineer within the Science & Technology Organization to design, build, and productionize AI-powered applications that improve healthcare workflows and product experiences.

You will collaborate with AI scientists, product teams, and software engineers to bring GenAI solutions from prototype to production, focusing on reliability, security, and scalable deployment in enterprise environments.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 4+ years of software engineering, AI engineering, or machine learning engineering experience.
• Hands‑on experience building GenAI applications using LLMs, RAG, embeddings, vector databases, or agentic AI workflows.
• Strong programming experience in Python and experience developing APIs and AI‑powered services.
• Demonstrated experience deploying and supporting AI/ML applications in production, including monitoring, evaluation, and operational reliability.
• Experience integrating applications with REST APIs, third‑party services, and enterprise data sources.
• Experience with cloud‑based AI/ML services and deployment environments (AWS, Azure, or GCP).

Responsibilities

• Design, develop, and deploy GenAI and machine learning applications using LLMs, retrieval-augmented generation (RAG), and agentic AI workflows.
• Productionize AI/ML solutions, including model serving, inference APIs, deployment pipelines, and integration into existing applications.
• Implement MLOps/LLMOps practices for model versioning, CI/CD, testing, evaluation, monitoring, and lifecycle management.
• Build evaluation frameworks, guardrails, and observability to improve AI application accuracy, reliability, latency, cost, and security.
• Develop and maintain integrations with enterprise systems, third-party platforms, APIs, and external data sources.
• Collaborate with cross-functional teams to translate product requirements and AI prototypes into reliable, production-ready solutions.

Skills

GenAI development

Python

API development

MLOps/LLMOps

LLM/RAG/agentic AI workflows

REST APIs

Cloud services (AWS/Azure/GCP)

Team collaboration

Education

Bachelor's degree in Computer Science

Tools

REST APIs

Vector databases

MLflow / Kubeflow

Docker

Job description

GE HealthCare is seeking an AI Applications Engineer within the Science & Technology Organization to design, build, and productionize AI-powered applications that improve healthcare workflows and product experiences.

You will collaborate with AI scientists, product teams, and software engineers to bring GenAI solutions from prototype to production, focusing on reliability, security, and scalable deployment in enterprise environments.