FULL TIME/ W-2 CONTRACT ROLE: AI Engineer - Onsite - New Jersey/Michigan

FULL TIME/ W-2 CONTRACT ROLE: AI Engineer (Onsite)

(Direct Client)

Location: Princeton, NJ OR Detroit, MI

Kylek Att Infigroup Dottcm

JOB DESCRIPTION:
We are seeking a skilled and motivated AI Engineer to design, develop, and deploy AI-powered applications and automation solutions. The ideal candidate will have hands-on experience with Generative AI, Large Language Models (LLMs), cloud technologies, and integrating AI capabilities into enterprise applications.
Key Responsibilities

• Design, develop, test, and deploy AI/ML solutions and intelligent automation applications.
• Build and integrate Generative AI solutions using LLMs, APIs, and AI frameworks.
• Develop AI agents, Retrieval-Augmented Generation (RAG) pipelines, and document processing solutions.
• Build scalable backend services and REST APIs to integrate AI capabilities with existing systems.
• Work with structured and unstructured data, including document extraction, OCR, and automated analysis.
• Deploy, monitor, and optimize AI applications in cloud environments.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Ensure AI solutions meet performance, security, reliability, and data privacy standards.

Required Qualifications

• Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 5+ years of software development experience in Java or .NET, or Python, in that 2 years of hands-on AI/ML development.
• Strong proficiency in Python, SQL, and API development.
• Experience working with LLMs, Generative AI, and prompt engineering.
• Familiarity with AI frameworks such as LangChain, LangGraph, or similar technologies.
• Experience with cloud platforms such as Google Cloud Platform (Google Cloud Platform), AWS, or Azure.
• Knowledge of REST APIs, databases, Git, Docker, and CI/CD pipelines.
• Strong analytical, debugging, and problem-solving skills.

Preferred Qualifications

• Experience with Google Vertex AI, Gemini, OpenAI, or other enterprise AI platforms.
• Experience with agentic AI, RAG architectures, embeddings, and vector databases.
• Familiarity with Google Cloud Run, Kubernetes, and cloud-native application development.
• Experience with Document AI, OCR, and intelligent document processing.
• Understanding of MLOps, AI model evaluation, monitoring, and optimization.
• Familiarity with enterprise security, responsible AI, and AI governance principles