
Nityo Infotech Corporation
Hybrid in San Jose, California • Today
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Nityo Infotech Corporation
Hybrid in San Jose, California • Today
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Contract
Depends on Experience

Prudent Technologies and Consulting
San Jose, California • Yesterday
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Depends on Experience

















nFolks Data Solutions
Remote or Albany, New York • Today
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Role :: Java Full Stack + AI
Location :: San Jose, CA
Mandatory Skills Java Full Stack + AI
• 10 to 12 years of experience with Software Development in Java Fullstack (Java, Angular)
• Minimum 2 years experience in AI Technologies
• Generative AI & LLMs: Demonstrated track record of deploying Google Gemini models in production using Vertex AI and the Agent Development Kit (ADK).
• RAG Architecture: Proven expertise in designing RAG systems.
• Backend & Cloud Infrastructure: Strong proficiency in Python (FastAPI), Google Cloud Run, and large-scale data retrieval strategies.
• Data Structures & Storage: Experience of relational database architecture and enterprise data schema management.
Experience working with one or more of the following: web or mobile application development, Unix/Linux environments, distributed and parallel systems, machine learning, information retrieval, natural language
processing, networking, developing software systems, and/or security
Preferred qualifications
Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable
• Demonstrated experience with service architecture, domain-driven design, and the development of scalable, distributed services.
• Demonstrated experience in the end-to-end design, scaling, and performance tuning of AI-integrated web applications within dynamic environments.
• Demonstrated experience running Kanban boards and sprints while forecasting effort for complex engineering projects.
• Demonstrated experience with Google ADK, MCP, and integrating Gemini AI APIs into production web applications.
• Demonstrated experience with ML model fine-tuning, evaluation, and performance optimization for user-facing systems.
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San Jose, California
•
Yesterday
JD Job responsibilities As an Engineer you are responsible for building, designing, and deploying modern web applications. You'll leverage your technical skills to architect scalable and robust solutions, tackle dependencies, and shape the team's technical strategy. This role requires you to: Collaborate closely with subject matter experts to understand challenges and translate them into effective solution designs, partnering with Product, UX, and other engineering teams. Drive AI efforts incl
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Contract
Depends on Experience
San Jose, California
•
Today
Position: Java Full Stack + AI Location: San Jose, CA (Onsite) 10 to 12 years of experience with Software Development in Java Fullstack (Java, Angular) Minimum 2 years experience in AI Technologies Generative AI & LLMs: Demonstrated track record of deploying Google Gemini models in production using Vertex AI and the Agent Development Kit (ADK). RAG Architecture: Proven expertise in designing RAG systems. Backend & Cloud Infrastructure: Strong proficiency in Python (FastAPI), Google Cloud Ru
Easy Apply
Contract
Depends on Experience
San Jose, California
•
Today
We are looking for Java Full Stack with AI for our client in San Jose, CAJob Title: Java Full Stack with AI Job Location: San Jose, CA Job Type: Contract Pay Range: $60.00hr - $65.00hr Job Overview: Our client is looking for a Senior AI with Java Full Stack Experience to join a learner-centered team, which is committed to delivering a next-gen transformative AI-powered learning infrastructure. In this role, the candidate will design, build, and deploy full-stack web solutions that are reliable,
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Third Party, Contract
Depends on Experience
San Jose, California
•
Today
Role: Java Full Stack Lead Location: San Jose, CA Onsite and In-Person Interview. Contract: 6+ Months with Possible Extension Experience: 8+ years Mandatory Skills: Java Full Stack and AI Job Description: -Lead development of scalable applications using Java/Spring Boot, React/Angular. -Design and integrate REST APIs, microservices, and cloud-native solutions. -Drive implementation of AI/GenAI capabilities, including LLMs, RAG, prompt engineering, AI agents, and vector databases. -Build AI
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Depends on Experience