Java Backend Developer – AI Applications

Java Backend Developer – AI Applications

  Gain America

  NASSAU, 11801, New York
  Full Time
  06-15-2026

 

Skills : Data Management and Analytics, Java, OOP, Spring, SQL, TFVC/Git,,

 

Join our team as a Java Backend Developer – AI Applications and help build scalable backend systems that power AI-driven products and intelligent automation solutions. You will work with Java, Spring Boot, REST APIs, cloud technologies, and AI integrations to develop high-performance enterprise applications while collaborating with software engineers, data scientists, and AI specialists.

 

Job Description

 

About the Role

We are looking for a motivated Java Backend Developer – AI Applications to develop and maintain backend services for AI-powered applications. This role offers an exciting opportunity to work at the intersection of software engineering and artificial intelligence, building scalable systems that integrate machine learning models, Large Language Models (LLMs), and intelligent automation capabilities.

You will collaborate with cross-functional teams to design, develop, test, and deploy enterprise-grade applications while gaining hands-on experience with modern AI technologies.

Key Responsibilities

  • Develop and maintain backend applications using Java and Spring Boot.
  • Design, build, and optimize RESTful APIs and Microservices.
  • Integrate AI and machine learning services into enterprise applications.
  • Collaborate with Data Scientists and AI Engineers to deploy AI models.
  • Build secure, scalable, and high-performance backend systems.
  • Work with SQL and NoSQL databases for data storage and retrieval.
  • Implement API integrations with Large Language Models (LLMs) and AI platforms.
  • Participate in code reviews, testing, debugging, and performance tuning.
  • Support cloud-based deployments and application monitoring.
  • Document technical solutions and follow software development best practices.

Required Skills

  • Java 8/11/17+
  • Spring Boot Framework
  • RESTful APIs
  • Microservices Architecture
  • SQL Databases (MySQL, PostgreSQL, SQL Server)
  • Git Version Control
  • Object-Oriented Programming (OOP)
  • Data Structures and Algorithms

Preferred AI Skills

  • Basic Python programming
  • Understanding of Machine Learning fundamentals
  • Familiarity with TensorFlow, PyTorch, or Scikit-learn
  • Knowledge of Generative AI and NLP concepts
  • Experience with OpenAI, Anthropic, Gemini, or other LLM APIs
  • Exposure to Vector Databases such as Pinecone, Chroma, Weaviate, or FAISS
  • Understanding of Retrieval-Augmented Generation (RAG)

Cloud & DevOps Skills

  • AWS, Azure, or Google Cloud Platform
  • Docker and containerization
  • CI/CD concepts
  • Linux fundamentals

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field.
  • 0–2 years of experience in Java development.
  • Internship, academic project, or personal project experience is a plus.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.

Preferred Projects

Candidates with experience in any of the following will have an advantage:

  • AI Chatbots
  • LLM-based Applications
  • Document Processing Systems
  • Recommendation Engines
  • Workflow Automation Platforms
  • Intelligent Search Applications
  • AI-powered Customer Support Solutions

Benefits

  • Competitive Salary
  • Health Insurance
  • Paid Time Off
  • Flexible Work Options
  • Professional Development Programs
  • AI and Cloud Certification Support
  • Mentorship from Senior Engineers

 

Similar Jobs

AI Infrastructure Engineer

HiringMirror

Owns the compute infrastructure that trains and serves AI models — GPU cluster management, distributed training pipelines, and inference serving at scale. A natural pivot for DevOps/backend infra engineers.

  Full Time

  09-10-2026

  New York

Context Engineer

HiringMirror

An emerging specialization focused on designing how information is structured, retrieved, and fed into an LLMs context window — optimizing for relevance, token efficiency, and reasoning quality rather than model weights themselves.

  Full Time

  09-10-2026

  New York

AI Evals Engineer

HiringMirror

Builds and maintains the evaluation frameworks that determine whether an AI system is good enough to ship — designing test sets, scoring rubrics, automated graders, and regression suites. A role most product companies currently can't hire fast enough for.

  Full Time

  09-10-2026

  New York

LLMOps Engineer

HiringMirror

The MLOps discipline adapted for large language models — owns the infrastructure for deploying, monitoring, versioning, and scaling LLM-based systems in production, including cost management and reliability.

  Full Time

  09-10-2026

  New York

Agentic AI Engineer

HiringMirror

Specializes in building autonomous or semi-autonomous AI agents that plan, use tools, and take multi-step actions with minimal human intervention. One of the highest-hiring-volume and most technically cutting-edge roles in 2026.

  Full Time

  09-10-2026

  New York