Citi—Generative AI engineer - Java full stack - Vice president

Job description

Description: We are seeking a highly experienced and innovative Senior Generative AI Engineer with over 12 years of industry experience, including a strong background in Java Full-stack development, to join our dynamic team. The ideal candidate will be instrumental in designing, developing, and deploying cutting-edge generative AI solutions that drive significant business impact. This role requires deep hands-on expertise in building scalable enterprise-grade AI systems, coupled with a solid understanding of software development best practices and robust architecture patterns, with a proven track record in both Java and Python ecosystems. Responsibilities: - Lead the engineering and execution of scalable enterprise Generative AI solutions from concept to production. - Design, develop, and implement advanced AI models and systems, with a focus on generative AI, leveraging large language models (LLMs) and agentic AI architectures. - Integrate AI services into existing enterprise systems by designing and implementing robust, high-performance APIs. - Apply expert-level proficiency in Python frameworks (e.g., FastAPI, Django, Flask, PySpark) for AI development and system integration. - Leverage significant past experience in Java development for building robust, scalable enterprise applications and integrating AI components within existing Java-based systems. - Utilize deep understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems, to inform solution design. - Gain hands-on experience with relevant AI frameworks and orchestration tools such as Google ADK, LangGraph, LangChain, AutoGen, and CrewAI. - Leverage extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., Scikit-Learn, NumPy, Pandas) to build and optimize AI models. - Develop, deploy, and integrate Model Context Protocols (MCPs) into sophisticated agentic AI systems. - Demonstrate deep familiarity and practical application of large language models (LLMs) such as ChatGPT, Claude, Gemini, and Llama within agentic systems. - Champion software development best practices, including version control (Git), CI/CD pipelines, comprehensive testing, and rigorous code reviews. - Ensure application resiliency and adhere to strong security principles in all AI projects. - Apply expertise in system design, application development, and operational stability for critical AI initiatives. - Utilize deep experience with application and data architecture patterns and designs, emphasizing API-First Design, microservices, and event-driven architectures. - Leverage managed services and existing platforms effectively to accelerate development and deployment. - Possess hands-on experience with containerization and orchestration technologies, specifically Docker and Kubernetes. - Proactively identify and solve complex technical challenges with excellent analytical, innovative, pragmatic, and creative problem-solving skills. - Qualifications: - 12+ years of progressive experience in software engineering, with a significant focus on Generative AI. - Prior hands-on experience in Java Full-stack development is required. - Expert-level proficiency in Python, including experience with frameworks such as FastAPI, Django, Flask, or PySpark. - Solid understanding of core AI concepts: knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems. - Demonstrated hands-on experience with generative AI frameworks/orchestration tools like Google ADK, LanGraph, LangChain, AutoGen, or CrewAI. - Extensive experience with machine learning frameworks (TensorFlow, PyTorch) and libraries (Scikit-Learn, NumPy, Pandas). - Proven experience in creating, deploying, and integrating MCPs into agentic AI systems. - Deep familiarity with large language models (LLMs) (e.g., ChatGPT, Claude, Gemini, Llama) and their application in agentic systems. - Strong experience in designing and implementing robust APIs for AI services. - Proficient in software development best practices: Git, CI/CD, comprehensive testing, and code reviews. - Strong understanding of agile methodologies, application resiliency, and security principles in AI. - Proven expertise in system design, application development, and ensuring operational stability. - Deep experience with application and data architecture patterns and designs, including API-First Design, microservices, and event-driven architectures. - Hands-on experience with Docker and Kubernetes. - Proficiency in database technologies such as Oracle, Postgres, or MongoDB. - Excellent analytical, innovative, and problem-solving skills. - Previous experience within the banking or financial services industry, understanding regulatory environments and specific challenges, is a plus. - Education: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related technical field. ------------------------------------------------------ Job Family Group: Technology------------------------------------------------------ Job Family: Applications Development------------------------------------------------------ Time Type: Full time------------------------------------------------------ Most Relevant Skills Please see the requirements listed above.------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 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