Java AI Jobs

Discover the latest remote and onsite Java AI roles across top active AI companies. Updated hourly.

Check out 110 new Java AI roles opportunities posted on The Homebase

Software Engineer, Backend

New
Top rated
Mashgin
Full-time
Full-time
Posted

The backend developer will own major feature development and work directly with founders on product development from end to end. Responsibilities include working with a small interdisciplinary team across hardware, software, and design to build new products from scratch; building new features and designing new architecture to address challenging problems; building backend infrastructure to perform scalable training in the cloud; rethinking and refactoring existing codebases for scale; and continuously improving and maintaining code in production. The role involves full ownership throughout the entire product lifecycle, including idea generation, design, prototyping, execution, and shipping, contributing to multiple parts of the codebase in various programming languages.

$115,000 – $210,000
Undisclosed
YEAR

(USD)

Palo Alto, United States
Maybe global
Onsite
Python
C++
Go
Java
Docker

Software Engineer, Backend

New
Top rated
Mirage
Full-time
Full-time
Posted

Design, build, and own backend systems end-to-end, including services, APIs, data pipelines, and infrastructure that power products. Solve complex technical challenges across distributed systems, scaling, concurrency, and performance. Integrate and operate large generative AI models in production—deploying, serving, and scaling systems that combine internal research and external capabilities to unlock new product experiences. Instrument, experiment, and iterate in production to continuously improve system and product quality. Design and operate core platform infrastructure, including integrations with third-party providers, storage systems, security, and internal APIs.

$185,000 – $285,000
Undisclosed
YEAR

(USD)

New York, United States
Maybe global
Onsite
Python
JavaScript
Java
Docker
Kubernetes

Machine Learning Engineer: ML Infra and Model Optimization

New
Top rated
Genies
Intern
Full-time
Posted

Develop and deploy LLM agent systems within the AI-powered avatar framework. Design and implement scalable and efficient backend systems to support AI applications. Collaborate with AI and NLP experts to integrate LLM and LLM-based systems and algorithms into the avatar ecosystem. Work with Docker, Kubernetes, and AWS for AI model deployment and scalability. Contribute to code reviews, debugging, and testing to ensure high-quality deliverables. Document work for future reference and improvement.

$40 – $50 / hour
Undisclosed
HOUR

(USD)

Los Angeles, United States
Maybe global
Hybrid
Python
Java
C++
PyTorch
TensorFlow

Freelance Software Developer (Java) - Quality Assurance (AI Trainer)

New
Top rated
Mindrift
Part-time
Full-time
Posted

As an AI Tutor in Coding at Mindrift, responsibilities include code generation and code review, prompt evaluation and complex data annotation, training and evaluation of large language models, benchmarking and agent-based code execution in sandboxed environments, working across multiple programming languages, adapting guidelines for new domains and use cases, following project-specific rubrics and requirements, and collaborating with project leads, solution engineers, and supply managers on complex or experimental projects. Flexibility and quick adaptation to new requirements are essential.

$50 / hour
Undisclosed
HOUR

(USD)

Spain
Maybe global
Remote
Java
CI/CD
AWS
Azure
Kubernetes

Freelance Software Developer (Java) - Quality Assurance (AI Trainer)

New
Top rated
Mindrift
Part-time
Full-time
Posted

As an AI Tutor in Coding on the Mindrift platform, responsibilities include code generation and code review, prompt evaluation and complex data annotation, training and evaluation of large language models, benchmarking and agent-based code execution in sandboxed environments, working across multiple programming languages, adapting guidelines for new domains and use cases, following project-specific rubrics and requirements, and collaborating with project leads, solution engineers, and supply managers on complex or experimental projects. Flexibility and quick adaptation to new requirements are essential.

$50 / hour
Undisclosed
HOUR

(USD)

United Kingdom
Maybe global
Remote
Java
CI/CD
AWS
Azure
Kubernetes

Freelance Software Developer (Java) - Quality Assurance (AI Trainer)

New
Top rated
Mindrift
Part-time
Full-time
Posted

As an AI Tutor in Coding, responsibilities include code generation and code review, prompt evaluation and complex data annotation, training and evaluation of large language models, benchmarking and agent-based code execution in sandboxed environments, working across multiple programming languages, adapting guidelines for new domains and use cases, following project-specific rubrics and requirements, and collaborating with project leads, solution engineers, and supply managers on complex or experimental projects. Flexibility and quick adaptation to new requirements are essential.

$24 / hour
Undisclosed
HOUR

(USD)

Brazil
Maybe global
Remote
Java
CI/CD
AWS
Azure
Kubernetes

Freelance Software Developer (Java) - Quality Assurance (AI Trainer)

New
Top rated
Mindrift
Part-time
Full-time
Posted

As an AI Tutor in Coding on the Mindrift platform, your responsibilities may include code generation and code review, prompt evaluation and complex data annotation, training and evaluation of large language models, benchmarking and agent-based code execution in sandboxed environments, working across multiple programming languages, adapting guidelines for new domains and use cases, following project-specific rubrics and requirements, and collaborating with project leads, solution engineers, and supply managers on complex or experimental projects. Flexibility and quick adaptation to new requirements are essential.

$45 / hour
Undisclosed
HOUR

(USD)

Canada
Maybe global
Remote
Java
CI/CD
Docker
Kubernetes
AWS

Research Engineer

New
Top rated
ASAPP
Full-time
Full-time
Posted

Research Engineers at ASAPP design, develop, and evaluate novel techniques in AI to advance the capabilities and impact of ASAPP’s products. They collaborate with product and engineering teams to ensure project success during the research phase and afterward. They build and maintain research datasets, infrastructure, and toolkits. Additionally, they collaborate with other functions at ASAPP to identify research opportunities.

Undisclosed

()

Argentina
Maybe global
Remote
Python
Java
PyTorch
TensorFlow
NLP

Lead Engineer – AI

New
Top rated
Bjak
Full-time
Full-time
Posted

Design and implement end-to-end AI systems, build training, inference, and evaluation pipelines, write production orchestration and feedback code, optimize latency, cost, and model quality, review PRs (pull requests), and mentor engineers. Act as the principal builder of A1's AI systems by writing production code, designing ML pipelines, setting engineering standards, and directly shaping how the AI works in the real world.

Undisclosed

()

London, United Kingdom
Maybe global
Remote
Python
Java
PyTorch
TensorFlow
RAG

Software Engineer

New
Top rated
helsing
Full-time
Posted

Undisclosed

()

Berlin or Munich
Maybe global
Hybrid
Python
C++
Java
PyTorch
TensorFlow

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[{"question":"What are Java AI jobs?","answer":"Java AI jobs involve integrating intelligent capabilities into enterprise applications. Professionals in these roles work on implementing machine learning algorithms, connecting applications to large language models, building recommendation systems, and handling big data processing. They typically use frameworks like Spring AI, LangChain4j, and DeepLearning4J to develop AI-powered business solutions without needing to create models from scratch."},{"question":"What roles commonly require Java skills?","answer":"Roles requiring Java skills in AI include enterprise application developers, backend developers connecting to AI platforms, full-stack developers building intelligent business applications, and data processing specialists. These professionals focus on integrating LLMs, implementing scalable algorithms for clustering and classification, creating chatbots, and developing fraud detection systems within established Java ecosystems."},{"question":"What skills are typically required alongside Java?","answer":"Alongside core programming abilities, professionals need familiarity with REST APIs, database interactions, and multithreading concepts. Knowledge of frameworks like Spring AI, LangChain4j, and DL4J is valuable. Understanding JVM deployment helps create platform-independent applications. Interestingly, prior AI expertise or Python knowledge isn't mandatory, as many developers learn to integrate AI features using their existing development skills."},{"question":"What experience level do Java AI jobs usually require?","answer":"Java AI jobs primarily require solid software development experience rather than specialized AI backgrounds. Entry-level positions focus on integrating existing AI services, while mid-level roles involve implementing machine learning algorithms and LLM interactions. Senior positions typically lead AI integration projects and architect intelligent systems. Importantly, developers can enter this field by building upon their current Java expertise."},{"question":"What is the salary range for Java AI jobs?","answer":"Java AI job salaries vary based on experience, location, and specific role. Entry-level positions involving basic AI integration typically offer competitive software development compensation. Mid-level roles implementing machine learning algorithms or LLM interactions command higher salaries, while senior architects designing enterprise AI solutions reach premium compensation levels. The specialized nature of combining enterprise development with AI capabilities often leads to salary premiums."},{"question":"Are Java AI jobs in demand?","answer":"Java AI jobs are experiencing strong demand as enterprises increasingly integrate intelligent features into existing applications. The emergence of Java-first frameworks like Spring AI and LangChain4j indicates growing industry focus on enabling Java developers for AI tasks. Companies prefer leveraging their current Java development teams rather than hiring specialized AI experts, creating opportunities for developers to expand their skills into this high-growth area."},{"question":"What is the difference between Java and Python in AI roles?","answer":"Java AI roles focus on integrating pre-built models into enterprise applications, emphasizing robustness and scalability. These positions typically involve building on top of foundation models rather than creating them. Python roles, however, center more on model development, research, and prototyping using libraries like TensorFlow and PyTorch. Java developers add intelligence to existing systems while Python specialists often work on the underlying AI algorithms themselves."}]