Gen AI Developer

• Agent Design and Development: Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules
• System Architecture: Develop scalable and robust architectures for agentic systems, ensuring high performance, reliability, and security
• Machine Learning Integration: Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities and decision-making
• Task Automation: Develop agents that can automate complex tasks, optimize workflows, and solve real-world problems across various domains
• Framework and Tooling: Utilize and contribute to agentic AI frameworks and development tools
• Evaluation and Optimization: Design and implement metrics and evaluation strategies for agent performance, continuously optimizing and improving agent behavior
• Research and Innovation: Stay abreast of the latest advancements in AI, particularly in agent-based systems, autonomous AI, and related fields, and propose innovative solutions
• Collaboration: 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
• Documentation: 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

• 4+ 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

Experience in finance industry a plus

• Private Medical Care Program
• Life Insurance Program
• Pension Plan contribution (PPE Program)
• Employee Assistance Program
• Paid Parental Leave Program (maternity and paternity leave)
• Sport Card
• Holidays Allowance
• Sport and team recreation activities
• Special offers and discounts for employees
• Access to an array of learning and development resources
• A discretional annual performance related bonus
• A chance to make a difference with various affinity networks and charity initiatives