Senior AI Data Engineer

• Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules
• Develop scalable and robust architectures for agentic systems, ensuring high performance, reliability, and security
• Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities and decision-making
• Develop agents that can automate complex tasks, optimize workflows, and solve real-world problems across various domains
• Utilize and contribute to agentic AI frameworks and development tools
• Design and implement metrics and evaluation strategies for agent performance, continuously optimizing and improving agent behavior
• Stay abreast of the latest advancements in AI, particularly in agent-based systems, autonomous AI, and related fields, and propose innovative solutions
• Work closely with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate agentic solutions into broader products and services
• Create comprehensive technical documentation for agent designs, implementations, and operational procedures
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

• 6+ years of professional experience in software development with a focus on AI, machine learning, or agent-based systems
• Strong proficiency in Python, SQL
• Java is a plus
• Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas)
• Familiarity with large language models (LLMs) and their application in agentic systems
• Familiarity with specific agent frameworks (e.g., LangChain, AutoGen, CrewAI, RAG) or research in multi-agent reinforcement learning
• Experience in designing and implementing APIs for AI services
• Experience with software development best practices, including version control (Git), CI/CD pipelines, testing, and code reviews
• Excellent analytical and problem-solving skills with a creative approach to complex challenges
• Strong written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
• Bachelor's degree in computer science, artificial intelligence, robotics, or a related quantitative field, or equivalent experience
• Master's degree preferred

Experience in finance industry a plus