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.