Senior Generative AI Engineer-Python and Agentic AI

Job description

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.* *If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review* *[Accessibility at Citi](https://www.citigroup.com/citi/accessibility/application-accessibility.htm).* *View Citi’s [EEO Policy Statement](https://www.citigroup.com/global/eeo-aa-policy) and the [Know Your Rights](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) poster.*