2 months ago
Base Salary
$126k - $189k/yr
Responsibilities
- Design and build multi-agent systems in which autonomous agents collaborate on complex financial business problems.
- Develop and optimize Retrieval-Augmented Generation architectures, including embeddings, vector databases, and retrieval pipelines.
- Implement planning, reasoning, memory, knowledge graph, rule-based reasoning, and search capabilities for reliable multi-step workflows.
- Build resilient agent architectures with error recovery, self-correction, and feedback-driven improvement.
- Integrate large language models, predictive models, and reasoning frameworks into financial decision-making systems.
- Build APIs, tools, and microservices that connect AI capabilities with enterprise applications.
- Optimize systems for low latency and high throughput through streaming, caching, and token-usage optimization.
- Apply current AI research to business challenges and help improve engineering practices.
- Drive AI technical strategy for Funds Transfer Pricing and Financial Hedging domains.
- Mentor junior engineers and provide technical leadership across multiple project teams.
Requirements
- At least 7 years of professional experience in software development and system design, including delivery of large-scale production systems.
- Proficiency in Python and SQL.
- Hands-on experience building production-quality agentic AI solutions using LangChain, LlamaIndex, or equivalent tools.
- Experience developing multi-agent systems with frameworks such as Google ADK, LangGraph, AutoGen, or CrewAI.
- Experience implementing planning, reasoning, and memory systems.
- Applied knowledge of large language models within agentic architectures, including AI service API integration.
- Advanced Prompt and Context Engineering skills.
- Experience working with vector databases in AI retrieval and memory architectures.
- Financial services experience, particularly in Funds Transfer, Pricing, Hedging, or Treasury technology, is beneficial.
- Proficiency in Java as a secondary programming language is beneficial.
- A Master's degree in Computer Science or a closely related field is beneficial.
Benefits
- Hybrid schedule with 3 days in the office and 2 days working remotely.
- Access to continuous learning, professional development, and exposure to current AI research.
- Collaboration with an engineering team emphasizing knowledge sharing, mentorship, and technical growth.
- Medical, dental, and vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.
- Paid vacation, sick leave, and holidays.
- Wellbeing and family support programs.
- Full-time role based in Irving, Texas.
- Competitive compensation and comprehensive benefits package; additional discretionary and formulaic incentive and retention awards may be available to eligible employees.
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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.