Gen AI Engineer Intermediate Analyst(4-7Years)

Job description

The AI Engineer Intermediate Analyst is an intermediate-level professional responsible for designing and implementing complex, scalable AI solutions in coordination with the AI Innovation team. The overall objective is to apply a strong understanding of AI, software architecture, and business processes to build and optimize high-performance AI systems. **Responsibilities:** - Design and develop production-ready Generative AI and Agentic solutions, with a strong focus on Agent Architecture selection, memory management, hallucination control, and performance measurement. - Analyze complex business processes and problems to design and implement technology and analytic solutions at scale, with a focus on performance optimization. - Develop and maintain robust data and technology pipelines, ensuring they are scalable, efficient, and reliable. - Implement feedback loops for AI agents using reinforcement learning techniques to continuously improve solution effectiveness. - Take ownership of the technical design and implementation of AI features and services. - Adhere to and promote best practices in software development, MLOps, and Model Governance. - Mentor junior engineers and provide technical guidance on projects. **Qualifications:** - 4-7 years of overall experience with a minimum of 2 years of experience in developing production-ready Gen AI based RAG or Agent-based solutions. - Strong experience in designing Agentic solutions, including Agent Architecture selection, memory management, hallucination control, and measuring solution effectiveness. - Proven ability to analyze business problems and design scalable technology/analytic solutions. - Hands-on experience with performance optimization of highly scalable systems. - Strong proficiency in Python and deep experience with AI/ML frameworks (PyTorch, TensorFlow, LangChain). - Extensive experience with cloud platforms (AWS, Azure, GCP), containerization (Kubernetes), and MLOps tools. - Experience with data pipeline and technology pipeline development. - Excellent analytical skills and a deep understanding of software architecture principles. **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:** ------------------------------------------------------ **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 Citi’s EEO Policy Statement and the Know Your Rights poster.*