2 days ago

AI Engineer

Piper Companies

Hybrid
Full Time
$165,000
Hybrid

Job Overview

Job TitleAI Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$165,000
LocationHybrid

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Job Description

About the Role

Piper Companies is seeking an AI Engineer to join a global medical technology company. The AI Engineer will implement and operate key functions on an AI platform to support software development. This is a remote position.

Responsibilities

  • Building production-ready agentic AI systems.
  • Designing and implementing CI/CD pipelines for AI model deployment.
  • Deploying and managing AI workloads on Azure using cognitive services.
  • Accelerating software development while remaining compliant.

Qualifications

  • 5+ years of professional experience in engineering with deployment of Large Language Models (LLM).
  • Strong proficiency API and integration experience with REST/GraphQL development.
  • Extensive experience in database management with both SQL and NoSQL.
  • Highly experienced in regulated industries such as healthcare.

Compensation

This AI Engineer role offers an annual salary of $150,000 – $180,000, along with a comprehensive benefits package including Medical, Dental, Vision, 401k, PTO, holidays, and sick leave as required by law.

Key skills/competency

  • AI Systems
  • LLM Deployment
  • CI/CD Pipelines
  • Azure Cloud
  • API Integration
  • SQL/NoSQL Databases
  • Healthcare Industry
  • Software Development
  • Prompt Engineering
  • DevOps

Tags:

AI Engineer
AI systems
CI/CD
AI model deployment
Azure
Software development
LLM
API
Database
Healthcare
Compliance
AKS
Terraform
Docker
Kubernetes
GitHub
JIRA
SQL
NoSQL
REST/GraphQL

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How to Get Hired at Piper Companies

  • Research Piper Companies' culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for AI Engineer roles: Highlight your experience with LLMs, Azure, CI/CD, and regulated industries, especially healthcare, using keywords from the job description.
  • Showcase your technical projects: Provide examples of your work with agentic AI systems, API integrations (REST/GraphQL), and SQL/NoSQL databases to demonstrate practical skills.
  • Prepare for technical interviews: Be ready to discuss your experience designing CI/CD pipelines, deploying AI workloads on Azure, and working within compliant software development environments.
  • Emphasize industry-specific knowledge: Articulate your understanding of challenges and best practices in regulated environments like healthcare during your interviews for this AI Engineer position.

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