GEN AI + JAVA DEVELOPER(C2C,1099,W2) OPEN FOR ALL VISAS ACROSS USA

Java + Generative AI Developer

Location: Austin, TX (Hybrid/Onsite)
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< data-start="295" data-end="322">Job Description:</>

We are seeking a highly skilled Java Developer with Generative AI expertise to join our team in Austin, TX. The ideal candidate will have strong experience in Java, AI/ML technologies, and cloud platforms to develop and integrate cutting-edge AI solutions into enterprise applications.

< data-start="620" data-end="652">Key Responsibilities:</>

• Develop and maintain scalable Java-based microservices for AI-driven applications.
• Integrate Generative AI models (LLMs, NLP, and Computer Vision) into enterprise systems.
• Design and implement APIs, pipelines, and cloud-based architectures for AI deployment.
• Work with ML frameworks (TensorFlow, PyTorch, Hugging Face, OpenAI, LangChain, etc.) to fine-tune AI models.
• Collaborate with data scientists and AI engineers to optimize model performance and deployment.
• Ensure AI solutions align with business objectives, security, and compliance guidelines.
• Continuously monitor and improve AI-driven applications using MLOps and AIOps practices.

< data-start="1344" data-end="1384">Required Skills & Experience:</>

Strong Java development experience with Spring Boot, Microservices, and REST APIs.
Experience with AI/ML technologies, including Generative AI (ChatGPT, LLaMA, Bard, etc.).
Hands-on expertise in NLP, Prompt Engineering, LLM fine-tuning, and vector databases.
Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) for AI model deployment.
Experience with Docker, Kubernetes, CI/CD, and DevOps practices.
Strong understanding of distributed computing, caching, and performance optimization.
Bachelor's or Master's in Computer Science, AI/ML, or a related field.

< data-start="2003" data-end="2027">Good to Have:</>

Experience with RAG (Retrieval-Augmented Generation) and fine-tuning AI models.
Familiarity with Graph Neural Networks, Computer Vision, or Edge AI.
Knowledge of multi-modal AI, embeddings, and search technologies.

Thanks

Debasish Pattnaik

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Java + Generative AI Developer

Location: Austin, TX (Hybrid/Onsite)
Send resumes to:

< data-start="295" data-end="322">Job Description:</>

We are seeking a highly skilled Java Developer with Generative AI expertise to join our team in Austin, TX. The ideal candidate will have strong experience in Java, AI/ML technologies, and cloud platforms to develop and integrate cutting-edge AI solutions into enterprise applications.

< data-start="620" data-end="652">Key Responsibilities:</>

• Develop and maintain scalable Java-based microservices for AI-driven applications.
• Integrate Generative AI models (LLMs, NLP, and Computer Vision) into enterprise systems.
• Design and implement APIs, pipelines, and cloud-based architectures for AI deployment.
• Work with ML frameworks (TensorFlow, PyTorch, Hugging Face, OpenAI, LangChain, etc.) to fine-tune AI models.
• Collaborate with data scientists and AI engineers to optimize model performance and deployment.
• Ensure AI solutions align with business objectives, security, and compliance guidelines.
• Continuously monitor and improve AI-driven applications using MLOps and AIOps practices.

< data-start="1344" data-end="1384">Required Skills & Experience:</>

Strong Java development experience with Spring Boot, Microservices, and REST APIs.
Experience with AI/ML technologies, including Generative AI (ChatGPT, LLaMA, Bard, etc.).
Hands-on expertise in NLP, Prompt Engineering, LLM fine-tuning, and vector databases.
Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) for AI model deployment.
Experience with Docker, Kubernetes, CI/CD, and DevOps practices.
Strong understanding of distributed computing, caching, and performance optimization.
Bachelor's or Master's in Computer Science, AI/ML, or a related field.

< data-start="2003" data-end="2027">Good to Have:</>

Experience with RAG (Retrieval-Augmented Generation) and fine-tuning AI models.
Familiarity with Graph Neural Networks, Computer Vision, or Edge AI.
Knowledge of multi-modal AI, embeddings, and search technologies.

Thanks

Debasish Pattnaik

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.