The AI Engineer Associate is a developing professional responsible for designing, building, and deploying Generative AI applications in coordination with the AI Innovation team. The overall objective is to leverage a foundational understanding of full-stack development and AI principles to build and maintain production-grade AI solutions. **Responsibilities:** + Develop and deploy production-grade Generative AI applications, with a strong focus on building highly effective prompts, semantic search solutions, and robust RAG/Agentic pipelines. + Engage in full-stack development, contributing to both the front-end and back-end of AI-powered applications. + Implement and maintain MLOps pipelines for continuous integration, delivery, and monitoring of AI models. + Contribute to the end-to-end ML model development lifecycle, including data understanding, feature engineering, algorithm selection, and validation. + Collaborate with cross-functional teams to translate business requirements into technical solutions. + Write clean, scalable, and well-documented code, adhering to software development best practices. + Assist in evaluating and integrating new AI technologies and frameworks to enhance existing solutions. **Qualifications:** + 2-4 years of overall experience with a minimum of 1.5 years of experience in developing production-grade Gen AI based RAG solutions or Agent-based solutions. + Proven experience as a full-stack developer, with hands-on experience in building and deploying production-ready applications. + Strong understanding of the Gen AI development process, including prompt engineering, semantic search, and RAG/Agentic pipeline development. + Proficiency in Python and experience with relevant frameworks (e.g., Flask, FastAPI, LangChain, Hugging Face). + Experience with deep learning frameworks such as PyTorch or TensorFlow. + Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes). + Familiarity with MLOps principles and tools (e.g., MLflow, Kubeflow, Sagemaker). + Strong problem-solving skills and the ability to work independently on assigned tasks. **Education:** + Bachelor's/University degree or equivalent experience in Computer Science, Engineering, or a related quantitative field. ------------------------------------------------------ **Job Family Group:** Decision Management ------------------------------------------------------ **Job Family:** Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ **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._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.