\\\\Job Overview:\\\\ We are looking for a skilled Generative AI Developer to join our Controls Technology team and contribute to the development and integration of innovative generative AI solutions. In this role, youll work closely with senior developers, AI architects, and business stakeholders to deliver impactful AI-driven features and products. \\\\Key Responsibilities:\\\\ \\+ Implement and fine-tune generative AI models under the guidance of senior team members. \\+ Contribute to prompt engineering and development of AI-powered workflows. \\+ Assist with the deployment, monitoring, and maintenance of AI models in production environments. \\+ Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities. \\+ Perform data preprocessing, feature engineering, and API development for AI applications. \\+ Participate in code reviews, testing, and documentation to ensure quality and reliability. \\+ Stay updated with advancements in GenAI and share relevant learnings with the team. \\\\Required Technical Skills:\\\\ \\+ Hands-on experience with at least one major machine learning framework ( \\\\PyTorch, TensorFlow, Keras\\\\ ). \\+ Familiarity with \\\\LLMs\\\\ , \\\\prompt engineering\\\\ , and \\\\fine-tuning\\\\ (e.g., LoRA, QLoRA). \\+ Exposure to \\\\RAG\\\\ systems and basic knowledge of hybrid search techniques. \\+ Understanding of model deployment and \\\\containerization\\\\ ( \\\\Docker\\\\ ). \\+ Proficiency in \\\\Python\\\\ for AI development, data preprocessing, and scripting. \\+ Experience with generative AI tools ( \\\\LangChain, Hugging Face, LlamaIndex\\\\ ) is a plus. \\+ Understanding of version control systems ( \\\\Git\\\\ ). \\+ Awareness of AI compliance, data privacy, and responsible AI principles. \\\\Required Soft Skills:\\\\ \\+ Strong teamwork and communication abilities. \\+ Willingness to learn new AI/ML technologies and frameworks. \\+ Analytical mindset and attention to detail. \\+ Openness to feedback and continuous improvement. \\\\Qualifications:\\\\ \\+ Bachelors degree or Masters degree in Computer Science, Data Science, AI, or a related field. \\+ 8+ years of professional experience in AI/ML development, with exposure to Generative AI. \\+ Experience delivering AI/ML projects in a collaborative setting. \\+ Exposure to cloud-based AI/ML environments ( \\\\AWS, GCP, or Azure\\\\ ) is a plus. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. \-\-\---------------------------------------------------- \\\\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 ()\\\.\\ \View Citis\\\EEO Policy Statement ()\\\and the\\\Know Your Rights ()\\\poster.\\ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

The role requires 8+ years of professional experience in AI/ML development, with exposure to Generative AI. A Bachelors or Masters degree in Computer Science, Data Science, AI, or a related field is necessary. Candidates must have hands-on experience with at least one major machine learning framework such as PyTorch, TensorFlow, or Keras. Familiarity with LLMs, prompt engineering, and fine-tuning is also required, along with an understanding of model deployment and containerization using Docker. Experience delivering AI/ML projects collaboratively is essential.