Web AI Engineer - Jersey City, NJ (Hybrid)

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 month(s)
No Travel Required

Skills

Python
javascript
angular
React
Machine Learning
RESTFUL APIs
TensorFlow
PyTorch
NLP
insurance
Artificial intelligent
AI algorithms
chatbot development

Job Details

Role Name: Web AI Engineer
Location: Jersey City, NJ (Hybrid)
Duration: 12 Months

 

Role Overview
The Web AI Engineer will be responsible for designing and implementing intelligent web based solutions that enhance digital capabilities across insurance platforms This role requires strong expertise in artificial intelligence machine learning and full stack web development The engineer will contribute to automation personalization and predictive analytics for policy servicing claims management and customer engagement

Key Responsibilities
Develop and deploy AI powered 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 real time data processing and model inference
Optimize performance reliability and scalability of AI enabled 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
Proficiency in Python JavaScript and frameworks such as React Angular or Vue
Experience with machine learning libraries including TensorFlow, PyTorch or Scikit learn
Strong understanding of RESTful APIs cloud services and containerization technologies
Familiarity with insurance data models and domain specific 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 API first design principles

Work Environment
Agile and innovation driven 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

Best Regards

Vishal

Truth Lies in  Heart

 

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