Source description
About the role
Job Description
W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters -->
Job Overview
Job ID: J53196
Posted Date: 02/04/2026
--> Specialized Area: Machine learning
--> Job Title: AI Engineer
Location: Jersey City, NJ
Duration: 16 Months + Extension
Hourly Rate: Depending on Experience (DOE)
Domain Exposure: Healthcare, Insurance, Education
--> Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
Client: To Be Discussed Later
Employment Type: W-2, 1099, C2C Bench Recruiter: Jessy Thomas
-->
View All Jobs Similar Jobs
Embedded Software Engineer - Alpharetta, GA
Embedded Software Engineer - sanfransico, CA
Quality Assurance Engineer - Cincinnati, OH
AI engineer - chicago, IL
AI engineer - dallas, TX
Job Description -->
Job Description:
Position: AI Engineer
Skills
Python APIs, ML frameworks, and AI tools (GitHub Copilot, Codex, Claude, Code Lang Chain, ADK, Chat GPT, MS Copilot). Here are the details: - Programming & Frameworks: Python, APIs, ML frameworks, and AI tools (GitHub Copilot, Codex, Claude Code, Lang Chain, ADK, Chat GPT, MS Copilot). - AI/ML Systems: LLMs (Open AI GPTs, Google AI, Claude), embeddings, and vector databases. - APIs: Building and managing integrations. - Core Competencies: Prompt Engineering, Model Evaluation & Design, and AI Architecture Design. - Data: Preparation and generation. - Cloud Services: AWS and GCP. Roles & Responsibilities: - Conduct R&D on AI/ML technologies and architectures. - Deploy AI/LLM and agentic applications for proof-of-concept demonstrations; assist in scaling solutions for production. - Explore and implement traditional AI, Gen AI, and Agentic AI. - Stay current on AI trends and evangelize emerging technologies. - Evaluate and pilot third-party AI solutions for scalability and business value. - Prototype solutions to inform future productization. - Collaborate on data preparation and synthetic data generation strategies. - Validate model performance, safety, and operational readiness. - Contribute to AI system architecture and manage workflows in cloud environments. - Collaborate with AI Business Partners.
Apply Now
More at Robotics Technologies