Hybrid Enterprise AI Developer: LLMs, RAG, Azure

CosmoProf Beauty; Plano (TX); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) with company match

Tuition reimbursement

Onsite salon access at corporate campu

Job summary

CosmoProf Beauty in Plano, TX, seeks a Sr. Enterprise AI Developer to design, build, and deploy AI-enabled solutions in a hybrid work setting at the Legacy West Support Center.

The role partners with architecture, security, data, and business teams to deliver scalable, production-ready applications in accordance with enterprise standards. The ideal candidate has hands-on software engineering experience and a strong background in AI/ML patterns, APIs, and cloud platforms, especially Azure.

Qualifications

• Hands-on software development and application engineering experience.
• Proficiency in Python, JavaScript/TypeScript, and C#.
• Experience building APIs, integrations, or enterprise apps.

Responsibilities

• Design, develop, test, deploy, and support AI-powered applications and integrations.
• Translate business needs into functional prototypes and enterprise-grade solutions.
• Build reusable AI components and patterns (RAG, embeddings, orchestration, monitoring).
• Integrate with enterprise data sources, APIs, and cloud platforms.
• Own end-to-end AI delivery lifecycle including CI/CD and production support.
• Evaluate use cases and determine build/buy/vendor choices.

Skills

Python

JavaScript/TypeScript

C#

API development

Azure

CI/CD

Data integration

AI/ML patterns

Security best practices

Tools

Azure OpenAI

Azure AI Foundry

Databricks

Power Platform

Copilot Studio

Power BI

Job description

CosmoProf Beauty in Plano, TX, seeks a Sr. Enterprise AI Developer to design, build, and deploy AI-enabled solutions in a hybrid work setting at the Legacy West Support Center.

The role partners with architecture, security, data, and business teams to deliver scalable, production-ready applications in accordance with enterprise standards. The ideal candidate has hands-on software engineering experience and a strong background in AI/ML patterns, APIs, and cloud platforms, especially Azure.