AI Engineer

Job Title:- AI Engineer (Final F2F required)

Location:- Phoenix, Arizona Onsite (Looking only local with local DL)

Duration:- Long Term Contract

Any visa will work

Candidate should have a proper maintained LinkedIn which should match the number of years of experience as per JD

Final F2F may be required
Contract

Job Summary

seeking a highly motivated AI Engineer to design, develop, and deploy AI-powered applications and intelligent automation solutions. The ideal candidate will have software development experience , hands-on experience with AI services, Generative AI technologies, and a passion for building scalable, production-grade AI solutions that drive business value.

Key Responsibilities

Design, develop, test, and deploy AI-enabled applications.

Build and integrate Generative AI/Agentic AI solutions using OpenAI, Large Language Models (LLMs), and Retrieval-Augmented Generation (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.

Ensure adherence to AI governance, compliance, and responsible AI practices.

Research emerging AI technologies and recommend innovative solutions to enhance business processes.

Required Qualifications

5+ years of minimum software development experience.

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.

Education Required:

Bachelor's degree in computer science, Information Technology, Engineering, or equivalent practical experience.