Web AI Engineer

  • New York City, NY
  • Posted 1 day ago | Updated 14 hours ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 1 Month(s)

Skills

Agile
Algorithms
AngularJS
Artificial Intelligence
Cloud Architecture
Cloud Computing
Clustering

Job Details

We are looking for a Web AI Engineer for our client in New York City, NY
Job Title: Web AI Engineer
Job Location: New York City, NY
Job Type: Contract
Job Description:
Pay Range: $70hr - $75hr
Responsibilities:
  • Develop and deploy AIpowered web applications for insurance workflows including underwriting claims processing and customer servicing.
  • Implement machine learning models for risk assessment fraud detection and customer behavior analysis.
  • Integrate AI services with web platforms using APIs and microservices architecture.
  • Build responsive and scalable frontend interfaces using modern frameworks.
  • Design and maintain backend systems that support realtime data processing and model inference.
  • Optimize performance reliability and scalability of AIenabled web components.
  • Ensure compliance with insurance regulatory standards and data privacy protocols.
  • Collaborate with data scientists architects and developers to align AI solutions with business objectives.
Required Skills:
  • Experience MCP / Agentic or Windsurf or coursor experience - Need agentic implementation.
  • Proficiency in Python JavaScript and frameworks such as React Angular or Vue.
  • Experience with machine learning libraries including TensorFlow PyTorch or Scikitlearn.
  • Strong understanding of RESTful APIs cloud services and containerization technologies.
  • Familiarity with insurance data models and domainspecific use cases.
  • Ability to implement AI algorithms for classification regression clustering and recommendation systems.
  • Exposure to NLP techniques for document processing and chatbot development.
  • Experience with data pipelines model deployment and monitoring tools.
  • Knowledge of security and compliance standards relevant to insurance platforms.
Preferred Qualifications:
  • Background in AI applications for life health or general insurance products.
  • Certification in machine learning AI engineering or cloud architecture.
  • Experience with personalization engines and predictive analytics in insurance.
  • Familiarity with headless CMS and APIfirst design principles.
Work Environment:
  • Agile and innovationdriven setting focused on intelligent insurance solutions.
  • Opportunity to lead AI initiatives and contribute to digital transformation programs.
  • Emphasis on technical excellence scalability and domain relevance.
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