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Java Ai Developer Jobs in Bellflower, CA (NOW HIRING)

Lead AI Engineer

Irvine, CA · On-site

$110K - $144.90K/yr

Proficiency in programming languages such as Python, R, or Java, and experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch). * Model Development: Extensive experience in developing ...

Strong programming skills in languages such as Python, Java, Go, or Ruby, with a deep understanding of large-scale data processing frameworks and AI model optimization techniques. Innovative Mindset:

Sr Applied AI Engineer

Irvine, CA

$131.50K - $173.40K/yr

... Python, C, C++, C#, Java, JavaScript or similar languages Python is required C# experience ... AI engineering • Highly collaborative and eager to work in a fast moving discovery phase ...

Senior Applied AI Engineer

Burbank, CA · Hybrid

$111.20K - $152.70K/yr

Strong expertise in Java, Python, PyTorch/TensorFlow, and modern LLM tooling. Deep hands-on ... Improved developer and tester productivity via AI-powered tooling. Successful deployment and ...

Proficiency in programming languages such as C#, Python, Java, C++, or similar. * Experience with ... Familiarity with Azure Data Fabric, Azure AI foundry. * Able to obtain and maintain a criminal ...

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How much do java ai developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for java ai developer in Bellflower, CA is $59.25, according to ZipRecruiter salary data. Most workers in this role earn between $51.25 and $66.30 per hour, depending on experience, location, and employer.

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

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.
What cities near Bellflower, CA are hiring for Java Ai Developer jobs? Cities near Bellflower, CA with the most Java Ai Developer job openings:

Senior Full-Stack Engineer, AI Engineering

TWG AI

Santa Monica, CA • On-site

Full-time

Posted 5 days ago


Job description

Job Summary:
TWG AI is a company focused on driving innovation and business transformation through data and AI across various industries. They are seeking a Senior Full-Stack Engineer to build agentic AI products, collaborating with management and other teams to enhance productivity and support data-driven decisions.
Responsibilities:
• Design, build, and operate agent-based software that executes multi-step tasks with tools, memory, and stateful workflows using LangGraph or equivalent frameworks
• Build and maintain evaluation pipelines for LLM and agent quality: offline eval suites, regression tests, tool-call and trajectory scoring, and the dashboards and tooling that make results actionable
• Lead development of React frontends with clean component architecture, sensible state management, and real performance work
• Design and maintain backend services, REST APIs, and data models in Java (Spring Boot) and Python
• Contribute to system design across multi-tenant infrastructure, auth, and async messaging
• Support features for our native iOS app, including UI, networking, push notifications, and release management
• Drive code quality, testing discipline, and engineering standards
• Mentor junior engineers and raise the bar through code review and design feedback
Qualifications:
Required:
• 5+ years building production software at scale
• Hands-on experience building real LLM and agent applications, not demos. You've designed tool interfaces, orchestrated multi-step workflows, handled failure modes in agent loops, and shipped something users depend on
• Direct experience with agent evaluation: building golden datasets, running offline evals, scoring tool calls and trajectories, and using eval results to drive prompt, model, and architecture changes. Familiarity with frameworks like Braintrust, LangSmith, Inspect, or comparable custom harnesses
• Strong React, including state management, component design, and performance
• Strong Java with Spring Boot, plus working proficiency in Python
• Relational database design (PostgreSQL preferred)
• Comfort with distributed systems, async messaging, and modern service architecture
• Cloud infrastructure (AWS, GCP, or Azure) and CI/CD
• Bachelor's degree in CS, Engineering, or equivalent practical experience
Preferred:
• Experience with LangGraph specifically, or having built comparable orchestration from scratch
• iOS development with Swift and SwiftUI, including App Store release experience and APNs
• Multi-provider LLM work (Anthropic, OpenAI, Google, xAI) and MCP servers or clients
• Redis Streams or similar async messaging at production scale
• Multi-tenant SaaS with non-trivial RBAC and auth
• On-device ML on iOS (CoreML, NLContextualEmbedding) or audio pipelines (Whisper, TTS)
• Prior experience working with Palantir Foundry is a big plus
Company:
TWG AI is a strategic partner to organizations re-engineering their business around unified intelligence. Founded in 2025, the company is headquartered in , , with a team of 201-500 employees. The company is currently Growth Stage.