Senior Full-Stack Engineer - Hybrid, Building AI-Driven Apps

New York Life

New York (NY)

Hybrid

USD 100,000 - 143,000

Full time

14 days+

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Benefits offered by this job

Benefits package

Job summary

New York Life is seeking an Associate Full Stack Engineer for our Enterprise Intelligence team, delivering decision intelligence products that translate data and ML outputs into actionable insights for field professionals. You will contribute across the full stack, from UI to backend services, API integration and data-driven applications.

You’ll collaborate with product managers, designers, data scientists, and senior engineers to design, develop, test, and deploy features that drive measurable

Qualifications

  • 3–5 years of experience in Full Stack Engineering or related role.
  • Bachelor's degree in Computer Science, Software Engineering, or a closely related field.
  • Proficiency in React, TypeScript/JavaScript, and modern front-end development principles.
  • Backend development in Python, API creation, automation, or data processing.

Responsibilities

  • Develop and maintain full-stack applications using React, TypeScript, Python, and SQL to support enterprise intelligence products.
  • Build prototypes and production-ready solutions for rapid idea validation and user feedback.
  • Design, develop, and support REST APIs, data integrations, and backend services linking analytics, ML outputs, and enterprise data assets to front-end apps.
  • Create reusable components, docs, tests, and standards to improve consistency and scalability across the product portfolio.
  • Collaborate with product managers, designers, data scientists, and engineers to translate business needs into technical solutions and high-quality user experiences.

Skills

Full stack engineering
React
TypeScript
Python
SQL
REST APIs
Data integration
Communication

Education

Bachelor's degree in CS/Software Engineering

Tools

FastAPI
Flask
Git
CI/CD
GCP
AWS
Azure

Job description

New York Life is seeking an Associate Full Stack Engineer for our Enterprise Intelligence team, delivering decision intelligence products that translate data and ML outputs into actionable insights for field professionals. You will contribute across the full stack, from UI to backend services, API integration and data-driven applications.

You’ll collaborate with product managers, designers, data scientists, and senior engineers to design, develop, test, and deploy features that drive measurable

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