Senior Generative AI Engineer-Python and Agentic AI

We are seeking an experienced and highly skilled Senior GenAI Engineer to join our innovative team. The ideal candidate will have over 5 years of hands-on experience in generative AI development, with a strong background in agentic AI systems, large language models (LLMs), and advanced Python programming. This role requires exceptional technical skills, the ability to lead complex GenAI projects, and a passion for pushing the boundaries of AI capabilities. Key Responsibilities * Generative AI Solution Development: Design, develop, and deploy cutting-edge generative AI models and applications, focusing on leveraging Agentic AI principles to create autonomous and intelligent systems. * Agentic AI System Design: Architect and implement multi-agent systems and AI agents capable of complex reasoning, planning, and execution in dynamic environments. * LLM Integration and Customization: Integrate and fine-tune large language models (LLMs) into applications, ensuring optimal performance, accuracy, and ethical alignment. * Python Development: Write robust, scalable, and efficient Python code for GenAI model development, data preprocessing, application logic, and API integrations. * Framework Utilization (Langchain, Langraph, Langsmith): Expertly apply and extend GenAI frameworks and tools such as Langchain for orchestration, Langraph for agentic workflow visualization, and Langsmith for debugging and evaluation of LLM applications. * Google ADK Implementation: Utilize the Google Agent Development Kit (ADK) to build, deploy, and manage AI agents within Google Cloud ecosystems. * Research and Innovation: Stay updated with the latest advancements in generative AI, agentic AI, and related fields. Experiment with new technologies and methodologies to continuously improve our GenAI offerings. * Performance Optimization: Optimize GenAI models and agentic systems for performance, scalability, and cost-efficiency in production environments. * Documentation and Best Practices: Develop and maintain comprehensive documentation for GenAI models, architectures, and applications. Establish and enforce best practices for GenAI development, testing, and deployment. * Collaboration and Mentorship: Collaborate with cross-functional teams including product managers, data scientists, and MLOps engineers. Provide mentorship and guidance to junior developers on GenAI best practices and emerging technologies. Required Skills and Qualifications * Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. * Experience: Minimum of 4 years of hands-on experience in Generative AI development, with a significant focus on Agentic AI systems. * Technical Skills: * Advanced proficiency in Python programming. * Demonstrated experience with large language models (LLMs) and their application. * Strong practical experience with GenAI frameworks such as Langchain, Langraph, and Langsmith. * Experience with Google Agent Development Kit (ADK). * Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch). * Experience with cloud platforms (GCP preferred) and MLOps practices. * Solid understanding of data structures, algorithms, and software design principles. * Analytical Skills: Exceptional analytical and problem-solving skills, with the ability to translate complex business requirements into scalable GenAI solutions. * Communication: Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. * Innovation: A strong track record of driving innovation and implementing novel solutions in the AI space. Preferred Qualifications * Experience with microservices architecture and API design. * Familiarity with containerization technologies (Docker, Kubernetes). * Prior experience in financial services or a highly regulated industry. * Contributions to open-source GenAI projects or relevant publications. * Leadership: Demonstrated experience in leading GenAI projects or mentoring development teams. \------------------------------------------------------ ## 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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