Senior AI Engineer - Generative & Enterprise AI

Artifintech; Phoenix (AZ); On-site; USD 160,000 - 230,000; Full time

Job summary

AgreeYa seeks a highly motivated AI Engineer to design, develop, and deploy AI-powered applications and intelligent automation solutions. You will work with Generative AI, LLMs, and RAG to deliver scalable, production-grade AI systems that drive business value.

The candidate should have hands-on experience with Python, C#/.NET, Java, REST APIs, and AI/ML concepts, plus strong CI/CD and Agile practices. Equal opportunity employer.

Qualifications

• 14+ years of software development experience.
• 2+ years of hands-on experience with AI/ML or Generative /Agentic AI solutions.
• Proficiency in Python, C# .NET, Java or similar development technologies.
• Experience developing REST APIs and enterprise integrations.
• Knowledge of machine learning concepts, NLP, and LLM architectures.
• Experience with version control, CI/CD, and Agile development methodologies.

Responsibilities

• Design, develop, test, and deploy AI-enabled applications.
• Build and integrate Generative AI/Agentic AI solutions using OpenAI, LLMs, and RAG frameworks.
• Develop scalable backend services, APIs, and microservices using modern development frameworks.
• Implement prompt engineering, model orchestration, and AI workflow automation.
• Integrate AI models with enterprise applications, databases, and third-party systems.
• Develop and maintain CI/CD pipelines for AI application deployment and monitoring.
• Collaborate with business stakeholders to translate requirements into AI-powered solutions.
• Optimize AI model performance, reliability, scalability, and security.

Skills

Python

C# .NET

Java

REST APIs

AI/ML

Agile

NLP

Education

Bachelor's degree in CS or related field

Tools

OpenAI

LLMs

RAG

Git

CI/CD pipelines

Job description

AgreeYa seeks a highly motivated AI Engineer to design, develop, and deploy AI-powered applications and intelligent automation solutions. You will work with Generative AI, LLMs, and RAG to deliver scalable, production-grade AI systems that drive business value.

The candidate should have hands-on experience with Python, C#/.NET, Java, REST APIs, and AI/ML concepts, plus strong CI/CD and Agile practices. Equal opportunity employer.