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Citi’s Banking Technology organization is seeking a highly hands-on Senior AI Engineer to design, build, and deploy cutting‑edge AI solutions for Investment, Corporate, and Commercial Banking. This role focuses on implementing scalable, agentic AI frameworks and generative AI solutions within small, agile squads. The successful candidate will operate with an AI‑first mindset, emphasizing rapid prototyping, MVP‑driven development, and iterative delivery of production‑grade AI capabilities.
Job Responsibility:
Design, implement, and deploy scalable agentic AI frameworks and generative AI solutions for critical business use cases, ensuring robustness, performance, security, and reliability
Develop and integrate agentic AI systems leveraging multiple model providers and platforms (e.g., OpenAI, Anthropic, Google APIs)
Build full-stack applications integrating LLM-driven workflows and AI coding tools (e.g., Devin, GitHub Copilot)
Drive an MVP-first, rapid-iteration approach with continuous experimentation and improvement
Define and implement metrics, evaluation strategies, and feedback loops to continuously improve AI system performance and behavior
Research, prototype, and integrate advances in agent-based, autonomous, and generative AI technologies
Contribute hands-on within cross-functional teams and provide technical guidance and mentorship to junior engineers
Ensure AI solutions are well-aligned to banking and financial services requirements, constraints, and business outcomes
Requirements:
Strong proficiency in Python and/or Java (Spring Boot)
working knowledge of JavaScript/TypeScript (Angular, Node.js)
Full-stack experience is a plus
Solid understanding of core AI concepts such as knowledge representation, planning, and multi-agent systems
Hands-on experience with LLMs, RAG, prompt engineering, MCPs, and agent frameworks (e.g., Google ADK)
Practical experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas)
Familiarity with AI coding tools such as Devin, Claude Code, GitHub Copilot, and Antigravity
Strong grounding in modern engineering practices including Git, CI/CD, testing, code reviews, agile delivery, application resiliency, and security
Experience designing API-first, microservices-based and event-driven architectures, including data engineering patterns for AI systems
Hands-on experience with Docker, Kubernetes, and OpenShift
Strong analytical skills with the ability to clearly communicate complex technical concepts
Solid understanding of banking/financial services and regulated environments
6+ years of progressive software engineering experience with a strong hands-on coding background
2+ years focused on AI software development, LLM-based solutions, agentic systems, and/or machine learning
Demonstrated experience delivering enterprise-scale AI capabilities into production
Bachelor’s or Master’s degree in Computer Science, AI, Robotics, or a related quantitative discipline
Nice to have:
Experience in data science (statistical modeling, experimentation)
interest in mentoring junior AI engineers
What we offer:
Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages including planned time off (vacation), unplanned time off (sick leave), and paid holidays