Remote AI Capability Engineer Associate – Full-Stack Dev

Ladders

United States

On-site

USD 105,000 - 130,000

Full time

2 hours ago
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Benefits offered by this job

Medical, dental, and vision coverage
Wellness programs to support employee

Job summary

The Ladders is seeking a Forward Deployed Engineer Associate to join our AI Capability Center in a remote, US-based role. You will build and refine AI-enabled software with a focus on delivery, quality, and practical adoption, working with stakeholders and technical partners to translate needs into full-stack solutions.

You will contribute to testing, evaluation, and deployment readiness across cloud environments and advanced model workflows, collaborating closely with business users and

Qualifications

  • 3+ years in software or AI development.
  • Proficiency in Python; familiarity with AWS or Azure.
  • Experience working directly with business stakeholders.
  • Bachelor's degree in Computer Science, Engineering, or equivalent.
  • Familiarity with front-end development.
  • Experience with RAG and agentic DevOps tools preferred.
  • Healthcare or higher education exposure is a plus.

Responsibilities

  • Build full-stack features on AWS and Azure using advanced models.
  • Collaborate daily with business users to shape product development.
  • Conduct quality tests and evaluations on products before deployment.
  • Follow design directives from the Solution Architect and identify gaps in design.

Skills

Python proficiency
Stakeholder collaboration
Front-end familiarity
AI/ML development experience

Education

Bachelor's degree in Computer Science, Engineering, or equivalent

Tools

AWS
Azure
DevOps tools (agentic)
RAG

Job description

The Ladders is seeking a Forward Deployed Engineer Associate to join our AI Capability Center in a remote, US-based role. You will build and refine AI-enabled software with a focus on delivery, quality, and practical adoption, working with stakeholders and technical partners to translate needs into full-stack solutions.

You will contribute to testing, evaluation, and deployment readiness across cloud environments and advanced model workflows, collaborating closely with business users and

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