Lead AI Engineer
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Job Overview
Job ID: J54306Job Title:
Lead AI Engineer
Location: Phoenix, AZ
Duration: 13 Months + Extension
Domain Exposure: Material
Client: To Be Discussed Later
Employment Type:
- W-2, 1099, C2CWork Authorization:
- US Citizen, Green Card, H-1B, OPT-EAD, CPT, OtherView All Jobs
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Job Title: Lead AI Engineer
Location: Phoenix, AZ
Duration: 13 months Bill Rate: $72/hour (C2C)
Job Type: W-2, 1099, C2CClient: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, OtherJob Summary
AgreeYa is global Integrator and 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:
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.
Education Required:
Bachelor’s degree in computer science, Information Technology, Engineering, or equivalent practical experience. Apply NowEqual Opportunity Employer We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law. Home|About|Adaptive AI|Industries|Consulting |Contact Us© 2004-2026, Machine Learning Technologies LLC, or its affiliates