Java Full Stack with AI

Job 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, scalable, and high-performant, using advanced technologies to build AI-powered learning flows. This is a unique opportunity to influence the future of learning experiences, developing integrated and scalable solutions from the ground up.

Responsibilities:

As an Engineer, the candidate is responsible for building, designing, and deploying modern web applications. The successful candidate will leverage technical skills to architect scalable and robust solutions, tackle dependencies, and shape the team s technical strategy. This role requires the candidate 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 including Gemini integrations, ML model fine-tuning, evaluation, and performance optimization to create user-facing solutions that are both scalable and high-performant.
• Drive cross-functional collaboration to prototype web solutions, gather feedback, and iteratively refine requirements.
• Develop, test, and monitor robust, scalable, and reliable web solutions that meet business needs.
• Leverage cloud solutions and tools to create seamlessly integrated, reusable, and extensible systems.
• Write and review technical documents (product, technical design, developer documentation) and code in Angular, TypeScript, Java, Kotlin, Python, or SQL.
• Build an agentic environment by implementing Gemini integrations, assisting with ML model fine-tuning, and executing AI performance evaluations to help develop intelligent, user-facing learning solutions.
• Serve as a Senior AI Engineer with extensive experience in Generative AI, Retrieval-Augmented Generation (RAG) frameworks, and agent-based system architectures within the cloud ecosystem.
• Demonstrate strong verbal and written communication skills alongside stakeholder management.

Minimum Qualifications:

The candidate must meet these minimum qualifications for this role:

• Bachelor s degree or equivalent practical experience.
• 10+ years of experience with Software Development in Java Fullstack (Java, Angular).
• 2+ years of experience in AI Technologies.
• Generative AI & LLMs: Demonstrated track record of deploying 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 with 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:

• 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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• Medical, Dental, and Vision Insurance
• 401(k) Retirement Plan
• Health Savings Account (HSA)
• Disability Insurance (Short-Term and Long-Term)
• Life and AD&D Insurance
• Paid Sick Leave (where required by applicable state or local law)
• Supplemental Insurance Plans
• Identity Theft Protection
• Pet Insurance
• Employee Wellness Programs
• Employee Assistance Program (EAP)
• Career Growth and Professional Development Opportunities