AI Engineer

Global Medical Response

• $110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in software engineering with a focus on AI/ML solutions.
  • Strong practical experience with machine learning models and generative AI applications.
  • Proficiency in building secure integrations with enterprise systems and APIs.
  • Ability to translate complex business needs into technical solutions effectively.
  • Familiarity with Azure AI tools and multi-cloud environments (AWS or GCP) is preferred.

Responsibilities

  • Design and deploy AI-enabled solutions, including machine learning and generative applications.
  • Integrate AI solutions with enterprise systems using secure APIs and data sources.
  • Develop training and evaluation patterns for AI models based on business use cases.
  • Create reusable technical assets like prompt libraries and deployment scripts.
  • Collaborate with cross-functional teams to clarify requirements for AI solutions.
  • Participate in architecture and peer reviews to ensure quality and compliance.
  • Monitor and improve AI solutions, troubleshooting any production issues as needed.

Benefits

  • Comprehensive benefits package including health, dental, and vision insurance.
  • Flexible work arrangements with hybrid options.
  • Opportunities for continuous learning and professional development.
  • Inclusive company culture supporting diversity and collaboration.
Full Job Description
Job Description

AI Engineer

Hybrid - Dallas/Lewisville Area

IMMEDIATELY HIRING! FULL-TIME AI Engineer

We are seeking a skilled and motivated AI Engineer to design, build, test, and deploy AI and machine learning solutions that address real business problems. This role is a hands-on engineering position focused on developing production-ready AI capabilities, integrating models and agents with enterprise systems, and collaborating with cross-functional partners to deliver secure, scalable, and responsible AI solutions. The ideal candidate brings strong software engineering fundamentals, practical AI/ML experience, and the ability to translate business needs into working technical solutions.

Responsibilities:
  • Design, develop, test, and deploy AI-enabled solutions, including machine learning models, generative AI applications, copilots, agents, and workflow automations.
  • Build integrations between AI solutions and enterprise systems using APIs, connectors, governed data sources, and secure authentication patterns.
  • Develop model training, evaluation, prompt engineering, grounding, and retrieval-augmented generation patterns as appropriate for business use cases.
  • Create reusable technical assets such as prompt libraries, agent templates, automation patterns, deployment scripts, and solution documentation.
  • Collaborate with product owners, business stakeholders, architects, data teams, and security partners to clarify requirements and deliver practical AI solutions.
  • Participate in architecture reviews, peer reviews, testing, deployment planning, and change management processes.
  • Monitor AI solution performance, troubleshoot production issues, and support continuous improvement of deployed capabilities.
  • Apply responsible AI, privacy, security, and compliance standards throughout solution design, implementation, and support.
  • Stay current on AI engineering tools, cloud services, model capabilities, and industry practices, and apply relevant learnings to improve solution delivery.


Key Technologies:
  • Azure AI tools such as Foundry, Azure Databricks, AI Search, or similar
  • SDLC and Agentic Development tooling such as Azure Dev Ops, Git Hub, Git Hub Copilot, Claude Code, Codex
  • Multi-Cloud - Experience developing for Multi-Cloud or with similar tooling across AWS or GCP


More Information about this Job

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