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Java Ai Developer Jobs in Oregon (NOW HIRING)

Smarsh

Sr. Software Engineer - Java

Portland, OR

$132.60K - $174.50K/yr

Summary We are looking for a highly skilled Java Developer to join our R&D Server team. In this ... Experience working with or integrating AI/ML tools or frameworks. * Background in microservices ...

Maximus

AI/ML Software Developer

Salem, OR · Remote

... with programming languages commonly used in AI/ML development, such as Python, and supporting ... SQL, Java, C++). - 3 years demonstrated experience of machine learning concepts, including ...

New

Maximus

AI/ML Software Developer

Portland, OR · Remote

... with programming languages commonly used in AI/ML development, such as Python, and supporting ... SQL, Java, C++). - 3 years demonstrated experience of machine learning concepts, including ...

New

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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.
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Java Ai Developer jobs near you
Sr. Software Engineer - Java

Sr. Software Engineer - Java

Smarsh

Portland, OR

$132.60K - $174.50K/yr

Full-time

Posted 20 days ago

Job description

Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines.  Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.

Summary
 
We are looking for a highly skilled Java Developer to join our R&D Server team. In this role, you will design and develop both new and existing product capabilities, working across a diverse set of technologies and architectures. This position also provides the opportunity to develop and support services within our federal enclave environment, alongside our cloud based workloads. Developing and supporting features within our federal enclave environment, requiring careful attention to compliance, security, and constrained deployment workflows. Building, enhancing, and maintaining services in our AWS-based production environment, leveraging modern cloud-native tooling and infrastructure. The ideal candidate is someone who loves to self-learn, shares expertise with peers, and thrives in an Agile, collaborative, and warm team environment.
 
Our tech stack includes Redis, Oracle, PSQL, Kafka, Spring, Microservices, Docker, Kubernetes, AWS, Jenkins, Grafana, ELK, Maven, and GitHub.
 
How will you contribute?
  • Design, develop, and maintain Java-based backend services across both secure federal enclave and AWS production environments.
  • Contribute to architecture design, code quality, performance optimization, and scalable system patterns.
  • Collaborate closely within an Agile Scrum team and provide mentorship, knowledge sharing, and technical leadership.
  • Participate in production troubleshooting, analysis, and improvements across diverse runtime environments.
  • Work with DevOps, QA, and Product teams to ensure smooth delivery, operational readiness, and high system reliability.
What will you bring?
  • At least 3 years of professional Java development experience (exceptional candidates with slightly less may be considered).
  • Strong object-oriented programming skills and deep understanding of Java internals.
  • Solid experience in software engineering principles, including system design, architecture, and best coding practices.
  • Hands-on experience with multi-threaded programming.
  • Ability to adapt development workflows to both federal enclave and cloud-based (AWS) environments.
  • Advantages
  • Experience working with or supporting secured / restricted-access environments is a plus.
  • Experience supporting a FedRAMP certified product in production.
  • DevOps-oriented mindset, with exposure to CI/CD pipelines, containerized environments, and operational tooling.
  • Experience working with or integrating AI/ML tools or frameworks.
  • Background in microservices architecture, including asynchronous (Kafka, messaging queues) and synchronous (RESTful APIs) communication models.
  • Strong test-oriented mindset (unit tests, component tests, automation).
  • Experience with Spring / Spring Boot.
  • Hands-on with Docker, Kubernetes, and container orchestration platforms.
  • Experience with Kafka event-driven systems.
  • Familiarity with profiling tools, code coverage tools, and CI/CD systems.
 
The above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. 
 
Any applicable bonus programs will be discussed during the recruiting process. 
 
The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training. Local cost of living assessments are done for each new hire at the time of offer.
About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.