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Java Ai Developer Jobs in Philadelphia, PA (NOW HIRING)

Monitise

Lead AI Engineer

Wilmington, DE

$186K - $285K/yr

... Java, Spring Boot, .NET, Angular, Python, and related technologies * Define reusable reference ... AI developer tools that improve quality, productivity, and delivery velocity * Deliver technical ...

Kanak Elite Services Inc

AI Engineer

Malvern, PA · On-site

AI Engineer Location : Malvern PA Hybrid Duration : Long term contract Responsibilities * Design ... Proficiency in a high-level language like Python, JavaScript, or Java * Knowledge of LLMs and RAG ...

Varsity Tutors

Java Tutor

Chester, PA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Java syntax, object-oriented programming principles, inheritance, polymorphism ...

Varsity Tutors

Java Tutor

Trenton, NJ · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Java syntax, object-oriented programming principles, inheritance, polymorphism ...

Ampcus Inc

Sr. Java Developer

Wilmington, DE · On-site

$55.50 - $70.75/hr

... Sr. Java Developer, responsible for executing software solutions, design, development, and ... specializing in AI/ML,digital solutions, Cybersecurity & Risk management, Testing, Forensics ...

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How much do java ai developer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for java ai developer in Philadelphia, PA is $57.21, according to ZipRecruiter salary data. Most workers in this role earn between $49.47 and $64.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Java AI Developer?

To thrive as a Java AI Developer, you need strong proficiency in Java programming, machine learning concepts, and a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or Deeplearning4j), version control systems like Git, and experience with cloud platforms are typically required. Creative problem-solving, strong analytical thinking, and effective communication skills help developers collaborate and innovate in complex AI projects. These skills ensure the delivery of efficient, scalable AI solutions and foster productive teamwork in fast-evolving tech environments.

What are some common challenges faced by Java AI Developers when integrating machine learning models into existing enterprise systems?

One of the main challenges Java AI Developers encounter is ensuring seamless integration of machine learning models—often built with Python-based frameworks—into Java-based enterprise environments. This can involve using APIs, microservices, or platforms like TensorFlow Java and Deeplearning4j to bridge compatibility gaps. Additionally, developers must optimize model performance for scalability and real-time inference, which requires thorough testing and tuning. Effective collaboration with data scientists and DevOps teams is crucial to address deployment issues and maintain model accuracy in production.

What is a Java AI Developer?

A Java AI Developer is a software professional who designs, develops, and implements artificial intelligence solutions using the Java programming language. They build machine learning models, integrate AI features into applications, and work with frameworks and libraries suited for AI development in Java. Their role often involves data processing, algorithm development, and deploying scalable AI-powered applications. Java AI Developers may work in various industries such as finance, healthcare, or technology to create intelligent systems that help solve complex business problems.
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Java Ai Developer jobs near you

Senior Java AI Developer (RAG/LLM)

Geethanjali College of Engineering and Technology

Wilmington, DE • On-site

$55.50 - $70.75/hr

Full-time

Posted yesterday

New

Job description

The client is looking for a Senior Java AI Developer to develop enterprise-scale Generative AI applications. The ideal candidate will possess strong Java backend expertise along with hands-on experience building Retrieval-Augmented Generation (RAG) solutions and integrating enterprise applications with Large Language Models.
Required Skills
  • 10+ years of Java development experience
  • Strong experience with Java 17+ and Spring Boot
  • Hands-on experience building Retrieval-Augmented Generation (RAG) systems
  • Experience with Spring AI, LangChain4j, or similar Java AI frameworks
  • Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, or Llama models
  • Strong knowledge of vector databases such as Pinecone, Milvus, Weaviate, FAISS, or ChromaDB
  • Experience implementing semantic search and document retrieval pipelines
  • Strong REST API and Microservices development experience
  • Experience with Kafka or other messaging platforms
  • Experience with Docker, Kubernetes, and OpenShift
  • Experience with AWS, Azure, or Google Cloud Platform
  • Strong SQL and NoSQL database experience
  • Experience with Git, Jenkins, and CI/CD
  • Experience with Agile development methodologies
Preferred Skills
  • Banking or financial services experience
  • Knowledge of AI agents and autonomous workflows
  • Experience with Spring AI ecosystem
  • Experience implementing enterprise security standards
  • Experience with AI governance and monitoring
  • Knowledge of prompt engineering and model evaluation
Responsibilities
  • Design and develop enterprise Java-based AI applications
  • Build scalable RAG architectures using Java and Spring Boot
  • Integrate LLMs into enterprise applications
  • Develop document ingestion, indexing, and retrieval pipelines
  • Build secure APIs for AI services
  • Optimize retrieval accuracy and response quality
  • Collaborate with architects, ML engineers, and business teams
  • Deploy AI services using containerized cloud platforms
  • Ensure application performance, scalability, and compliance
  • Provide technical leadership and mentor development teams
Nice to Have:
  • Experience with LangGraph or AI Agent frameworks
  • MCP (Model Context Protocol) implementation experience
  • Knowledge Graph integration
  • AI observability tools (LangSmith, Arize AI, TruLens)
  • NVIDIA NIM or enterprise inference platforms
  • Financial regulatory compliance experience
  • Exposure to Agentic AI architectures

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