Java Full stack with AI C2C contract at New York City

Tech Mirrors

New York (NY)

Hybrid

USD 150,000 - 210,000

Full time

14 days+

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Job summary

Tech Mirrors in New York City is seeking a seasoned Java Full Stack Developer with hands-on AI expertise to design, develop, and maintain scalable enterprise applications using Java Spring Boot, React, and AI integrations.

This hybrid role requires 10+ years of experience and hands-on proficiency with LLMs, cloud platforms, and modern frameworks. You will implement AI use cases, build microservices, and collaborate in an Agile environment to ensure security, performance, and reliability.

Qualifications

  • Backend development with Java and Spring Boot.
  • Frontend development using React/Angular and TypeScript.
  • Experience integrating AI/LLM capabilities and AI workflows.

Responsibilities

  • Design and develop scalable Java web applications using Spring Boot and microservices.
  • Build responsive UIs with React/Angular, TypeScript, HTML5, CSS3.
  • Develop and integrate AI-powered solutions leveraging LLMs and AI platforms.
  • Implement AI use cases such as chatbots, semantic search, and document summarization.
  • Design and optimize backend services, messaging systems, and event-driven architectures.

Skills

Java
Spring Boot
Microservices
REST APIs
GraphQL
Hibernate
Kafka
JMS
React
Angular
TypeScript
HTML5
CSS3
AI / Generative AI
Azure OpenAI
OpenAI APIs
Cloud Platforms
Docker
Kubernetes
Jenkins
GitHub Actions
Azure DevOps
CI/CD
PostgreSQL
MongoDB
AWS
GCP

Job description

Job Title: Java FSD Developer with AI. Location: New York City, NY (Hybrid). Expr level 10+ years.

Pls Note: COI: 5MM COI (Certificate of Insurance) is required from candidates employer (who is running his payroll).

We are seeking a highly skilled Java Full Stack Developer with hands on experience in Artificial Intelligence AI and Generative AI solutions. The ideal candidate will design, develop, and maintain scalable enterprise applications across the full technology stack while integrating AI powered capabilities using modern frameworks, cloud platforms, and Large Language Models (LLMs).

Key Responsibilities
  • Design and develop scalable web applications using Java Spring Boot, Microservices, and REST APIs
  • Build responsive user interfaces using React.js, Angular, TypeScript, HTML5, CSS3, and JavaScript
  • Develop and integrate AI-powered solutions leveraging Generative AI, LLMs, Azure OpenAI, OpenAI APIs, or similar platforms
  • Implement AI use cases such as chatbots, intelligent search, document summarization, recommendation engines, and workflow automation
  • Design and optimize backend services, messaging systems, and event‑driven architectures using Kafka and related technologies
  • Create secure and scalable cloud‑native applications on AWS, Azure, or GCP
  • Collaborate with Product Owners, Architects, QA teams, and Business stakeholders in Agile environments
  • Develop and maintain CI/CD pipelines, automated testing and deployment processes
  • Ensure application security, performance, reliability, and operational excellence
  • Participate in code reviews, technical design discussions, and mentoring of junior developers
Required Skills
  • Backend
    • Java 8/11/17
    • Spring Boot, Spring MVC, Spring Security
    • Microservices Architecture
    • REST APIs, GraphQL
    • Hibernate, JPA
    • Kafka, JMS
  • Frontend
    • React.js or Angular
    • TypeScript, JavaScript
    • HTML5, CSS3, Bootstrap, Tailwind
  • AI / Generative AI
    • Hands‑on experience with LLMs and Generative AI platforms
    • Prompt Engineering
    • Azure OpenAI, OpenAI, Google Vertex AI or similar services
    • AI API integration and orchestration frameworks
    • Retrieval Augmented Generation (RAG) concepts
    • Vector Databases and Semantic Search
  • Cloud & DevOps
    • AWS, Azure, GCP
    • Docker, Kubernetes
    • Jenkins, GitHub Actions, Azure DevOps
    • Git, CI/CD pipelines
  • Database
    • PostgreSQL, Oracle, SQL Server, MySQL
    • NoSQL databases (MongoDB preferred)
Preferred Qualifications
  • Experience with Full Stack Development
  • Experience building AI‑enabled enterprise applications
  • Knowledge of AI governance, security, and responsible AI practices
  • Financial Services, Banking, Digital Assets, or FinTech experience is a plus
Desired Competencies
  • Strong problem‑solving and analytical skills
  • Excellent communication and stakeholder management
  • Ability to work independently and lead technical initiatives
  • Passion for emerging AI technologies and continuous learning
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