Mid Level AI Engineer

About the role

This is an opportunity to join a team actively deploying AI into real business workflows, not just experimenting. The organization is investing heavily in AI to improve operations, patient experiences, and internal systems. They are seeking someone early in their career who has hands-on experience with LLM-based solutions and is eager to grow in a production environment. You’ll gain exposure to enterprise AI architecture, regulated data environments, and modern cloud-based development.

Responsibilities

• Build intelligent automation and AI-powered copilots using technologies like Azure OpenAI, Copilot Studio, Python, and Power Platform.
• Work with APIs and integrations to deploy AI solutions into real business workflows.
• Collaborate with cross-functional teams to design, develop, and maintain AI-driven applications.
• Engage in prompt engineering and retrieval-based systems to enhance AI performance.
• Ensure compliance with data privacy regulations, particularly HIPAA.

Requirements

• 1–3 years of software engineering experience
• Hands-on experience building AI or LLM-based applications (agents, copilots, RAG pipelines, etc.)
• Strong programming skills in Python and/or C#
• Experience with Azure or another cloud platform
• Knowledge of prompt engineering and retrieval-based systems
• Experience working with APIs and integrations
• Bachelor’s degree in Computer Science, Engineering, or related field
• Experience with Microsoft Copilot Studio, Azure AI Foundry, or Azure OpenAI
• Familiarity with Power Platform (Power Automate, Power Apps, Dataverse)
• Exposure to RPA tools such as UiPath or Automation Anywhere
• Understanding of authentication (OAuth, Entra ID)
• Familiarity with JavaScript or TypeScript
• Experience with CI/CD pipelines and DevOps practices
• Knowledge of data privacy or regulated environments (HIPAA preferred)

Qualifications

• Hands-on experience with LLM-based solutions
• Eager to grow in a production environment
• Exposure to enterprise AI architecture
• Experience with regulated data environments
• Experience with modern cloud-based development

Skills

• Python and/or C#
• Azure or another cloud platform
• Prompt engineering and retrieval-based systems
• APIs and integrations
• Mentorship and guidance

Benefits

• Competitive salary range of $110k - $120k
• Hybrid work schedule (3 days onsite, Monday & Thursday required)
• Flexible work arrangements
• Professional development opportunities
• Health and wellness benefits

Pay

• $110k - $120k

Schedule

• Hybrid work schedule (3 days onsite, Monday & Thursday required)