AI Engineer (LLM/Java) - (Remote is fine & w2 only)

Job Title: AI Engineer (Java Background) - w2 & Remote is fine Location: Sunnyvale, CA or Remot eEmployment Type: Full-Time (FTE )Visa: USC/GC/H4-EAD/T NNo c2 c Summa ryWe are seeking a highly motivated AI Engineer with a strong software engineering foundation in Java and hands-on experience with Generative AI, Large Language Models (LLMs), and AI-powered development tools. This role is ideal for an engineer who enjoys leveraging AI to solve complex business problems, automate engineering workflows, and improve developer productivity. The successful candidate will work across multiple technologies and disciplines, developing AI-driven applications, integrating LLMs into enterprise systems, and building tools that enhance software development efficiency. While Java will be the primary development language, the role requires versatility across modern technologies including Python, JavaScript, and fron t.About the Ro leThis role is ideal for an engineer who enjoys leveraging AI to solve complex business problems, automate engineering workflows, and improve developer productivit y.Responsibiliti es Design, develop, and deploy AI-powered applications and solutions using modern LLMs and Generative AI technologi es.Build, customize, and enhance AI tools, agents, and workflows to improve engineering productivity and operational efficien cy.Integrate AI capabilities into enterprise applications and software development process es.Develop and maintain scalable backend services primarily using Ja va.Utilize AI-assisted development tools (such as GitHub Copilot, Cursor, Claude, ChatGPT, or similar platforms) to accelerate software development and innovati on.Evaluate emerging AI technologies, frameworks, and models and recommend their adoption where appropria te.Collaborate with product managers, architects, and engineering teams to identify opportunities for AI-driven automation and optimizati on.Create proof-of-concepts, prototypes, and production-ready AI solutio ns.Participate in architecture discussions, code reviews, testing, deployment, and ongoing support activiti es.Develop solutions across multiple technology stacks, including backend, frontend, APIs, automation, and AI framewor ks.Qualificati onsBachelor's degree in Computer Science, Software Engineering, or a related technical fie ld.5+ years of professional software development experien ce.2+ years of hands-on experience working with Generative AI, Large Language Models (LLMs), AI agents, or AI-powered applicatio ns.Strong proficiency in Java and object-oriented software developme nt.Experience leveraging AI coding assistants and AI development platforms to design, develop, test, and deploy software solutio ns.Ability to use AI technologies to perform a wide range of engineering tasks, including coding, testing, debugging, documentation, automation, and system desi gn.Experience with one or more additional programming languages such as Python, JavaScript, TypeScript, or simil ar.Strong problem-solving skills and ability to rapidly learn and adapt to emerging AI technologi es.Experience developing REST APIs, microservices, and cloud-based applicatio ns.Required Ski llsStrong proficiency in Java and object-oriented software developme nt.Experience leveraging AI coding assistants and AI development platfor ms.Ability to use AI technologies for a wide range of engineering tas ks.Experience with additional programming languages such as Python, JavaScript, or TypeScri pt.Strong problem-solving skil ls.Experience developing REST APIs, microservices, and cloud-based applicatio ns.Preferred Ski llsExperience with OpenAI, Anthropic, Gemini, Llama, or other foundation mode ls.Experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or simil ar.Experience building AI agents, Retrieval-Augmented Generation (RAG) solutions, vector databases, and prompt engineering workflo ws.Experience with cloud platforms such as AWS, Azure, or Google Cloud Platfo rm.Familiarity with containerization and orchestration technologies such as Docker and Kubernet es.Experience with modern frontend frameworks such as React, Angular, or Vue. js.Knowledge of MLOps, model deployment, and AI governance best practic es.