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Java AI Engineer
Smart IT Frame LLC
2 hours ago
Full-time
On-site
Austin, Texas, United States
Summary: We are looking for a talented Java AI Engineer to design, develop, and integrate AI-powered applications using Java and modern Artificial Intelligence technologies.
Key Responsibilities
Develop scalable AI/ML applications using Java, Spring Boot, and REST APIs. Integrate Generative AI, LLMs, NLP, and Machine Learning capabilities into enterprise applications. Build and deploy AI-powered services and microservices. Work with AI frameworks, APIs, and cloud platforms to deliver intelligent solutions. Develop integrations with OpenAI, Azure OpenAI, AWS AI services, or similar platforms. Implement RAG (Retrieval-Augmented Generation), vector databases, embeddings, and prompt engineering solutions. Optimize application performance, scalability, security, and reliability. Collaborate with data scientists, software engineers, architects, and business teams. Write clean, maintainable, and production-ready Java code. Participate in code reviews, testing, deployment, and troubleshooting. Required Skills
Strong experience with Java / J2EE and Spring Boot. Experience building RESTful APIs and microservices. Knowledge of AI/ML, Generative AI, LLMs, NLP, and prompt engineering. Experience with RAG, vector databases, embeddings, and AI APIs. Familiarity with Python and AI/ML frameworks is a plus. Experience with AWS, Azure, or Google Cloud. Knowledge of databases such as PostgreSQL, MySQL, MongoDB, or similar. Strong understanding of software development lifecycle, CI/CD, and Agile methodologies.
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Key Responsibilities
Develop scalable AI/ML applications using Java, Spring Boot, and REST APIs. Integrate Generative AI, LLMs, NLP, and Machine Learning capabilities into enterprise applications. Build and deploy AI-powered services and microservices. Work with AI frameworks, APIs, and cloud platforms to deliver intelligent solutions. Develop integrations with OpenAI, Azure OpenAI, AWS AI services, or similar platforms. Implement RAG (Retrieval-Augmented Generation), vector databases, embeddings, and prompt engineering solutions. Optimize application performance, scalability, security, and reliability. Collaborate with data scientists, software engineers, architects, and business teams. Write clean, maintainable, and production-ready Java code. Participate in code reviews, testing, deployment, and troubleshooting. Required Skills
Strong experience with Java / J2EE and Spring Boot. Experience building RESTful APIs and microservices. Knowledge of AI/ML, Generative AI, LLMs, NLP, and prompt engineering. Experience with RAG, vector databases, embeddings, and AI APIs. Familiarity with Python and AI/ML frameworks is a plus. Experience with AWS, Azure, or Google Cloud. Knowledge of databases such as PostgreSQL, MySQL, MongoDB, or similar. Strong understanding of software development lifecycle, CI/CD, and Agile methodologies.
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