AI Developer

Empath Health

$110K — $130K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field
  • 5+ years of software development experience
  • 2+ years of experience specifically building AI/ML solutions
  • Strong expertise in AI/ML frameworks and cloud platforms
  • Hands-on expertise with APIs, microservices, and containerization
  • Solid understanding of data engineering concepts and AI lifecycle management

Responsibilities

  • Design and deliver end-to-end AI/ML solutions
  • Build and scale modern AI architectures, including generative AI and LLMs
  • Develop APIs, microservices, and integration layers for AI embedding
  • Lead evaluation and implementation of AI tools and frameworks
  • Establish MLOps practices, including automated pipelines and model governance
  • Translate business needs into AI-driven solutions with measurable ROI

Benefits

  • Supportive mission-driven healthcare environment
  • Opportunity to enhance mechanisms that impact key business processes
  • Collaborative work with cross-functional teams
  • Exposure to cutting-edge AI technologies
  • High-impact role influencing strategic initiatives
Full Job Description
AI Developer to optimize and support our Salesforce platform across the organization. In this role, you'll partner closely with business stakeholders and IT to enhance system functionality, improve data integrity, and drive user adoption. This is a high-impact position where you will help shape how Salesforce supports key business processes, reporting, and strategic initiatives within a mission-driven healthcare environment.

What you'll Do

  • Design and deliver end-to-end AI/ML solutions, from data ingestion and modeling to deployment and monitoring
  • Build and scale modern AI architectures, including generative AI, LLMs, and RAG-based applications
  • Develop APIs, microservices, and integration layers to embed AI into enterprise systems
  • Lead evaluation and implementation of AI tools, platforms, and frameworks across the organization
  • Establish MLOps practices including automated pipelines, model governance, and performance monitoring
  • Partner with cross-functional teams to translate business needs into AI-driven solutions with measurable ROI


What You'll Need

  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field
  • 5+ years of software development experience, including 2+ years building AI/ML solutions
  • Strong experience with AI/ML frameworks, cloud platforms, and scalable system architecture
  • Hands-on experience with APIs, microservices, containerization, and large-scale data processing
  • Solid understanding of data engineering concepts and AI lifecycle management
  • Strong problem-solving, communication, and cross-functional collaboration skills


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