4 days ago
Base Salary
$142k - $213k/yr
Responsibilities
- Design, implement, and deploy scalable agentic AI frameworks and generative AI solutions for banking use cases.
- Develop and integrate agentic AI systems using multiple model providers and platforms, including OpenAI, Anthropic, and Google APIs.
- Build full-stack applications with LLM-driven workflows and AI coding tools.
- Drive MVP-first development, rapid prototyping, experimentation, and iterative delivery of production-grade AI capabilities.
- Define evaluation metrics, evaluation strategies, and feedback loops to optimize AI system performance and behavior.
- Research, prototype, and integrate advances in agent-based, autonomous, and generative AI technologies.
- Contribute hands-on within cross-functional squads and provide technical guidance and mentorship to junior engineers.
- Align AI solutions with banking and financial-services requirements, regulatory constraints, and business outcomes.
Requirements
- 6–10 years of progressive software engineering experience with a strong hands-on coding background.
- At least 2 years focused on AI software development, LLM-based solutions, agentic systems, and/or machine learning.
- Strong proficiency in Python and/or Java with Spring Boot, plus working knowledge of JavaScript and TypeScript with Angular and Node.js.
- Understanding of knowledge representation, planning, multi-agent systems, LLMs, RAG, prompt engineering, MCPs, and agent frameworks such as Google ADK.
- Practical experience with TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas.
- Familiarity with Devin, Claude Code, GitHub Copilot, and Antigravity.
- Experience with 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.
- Demonstrated experience delivering enterprise-scale AI capabilities into production.
- Solid understanding of banking or financial services and regulated environments.
- Bachelor’s or master’s degree in Computer Science, AI, Robotics, or a related quantitative discipline.
- Preferred qualifications include data-science experience, statistical modeling, experimentation, and interest in mentoring junior AI engineers.
Benefits
- Medical, dental, and vision coverage.
- 401(k), life, accident, and disability insurance.
- Wellness programs.
- Paid vacation, sick leave, and holidays.
- Full-time role based in Jersey City, New Jersey.
- Eligible employees may receive discretionary and formulaic incentive and retention awards.
Tech Stack
AngularDockerGitJavaJavaScriptKubernetesNode.jsNumPyOpenShiftPandasPythonPyTorchscikit-learnSpring BootTensorFlowTypeScript
Categories
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.