Senior Python-AI Engineer Agentic Systems

Posted 5 Days Ago
Be an Early Applicant
Irving, TX, USA
In-Office
107K-161K Annually
Senior level
Fintech • Financial Services
The Role
Design, develop, and deploy production-grade multi-agent AI systems for financial pricing and hedging platforms. Build RAG pipelines, vector database integrations, knowledge graph reasoning, planning and memory systems, and resilient agent architectures. Integrate LLMs, predictive models, APIs, tools, and microservices while optimizing latency, throughput, and cost. Apply AI research to financial workflows, collaborate across engineering teams, and mentor engineers on AI development practices.
Summary Generated by Built In

Senior Python-AI Engineer, Agentic Systems

  

Citi is building some of the most consequential AI solutions in global financial services, and this Senior AI Engineer role sits at the heart of that mission — designing and developing production-grade Agentic AI systems for Funds Transfer Pricing and Financial Hedging platforms. You will take ownership of complex AI agent architectures from concept through to global-scale deployment, driving automation and decision intelligence across critical financial workflows. This is an opportunity to shape the next generation of AI-powered financial technology at one of the world's leading institutions.

Responsibilities
  • Design and build multi-agent systems where autonomous agents collaborate to solve complex, real-world business problems across financial platforms.
  • Develop and optimize Retrieval-Augmented Generation (RAG) architectures, including embedding strategies, vector databases, and retrieval pipelines, to improve the accuracy and reliability of AI-generated outputs.
  • Implement planning and reasoning capabilities using knowledge graphs, rule-based reasoning, and search algorithms that enable agents to execute multi-step workflows reliably.
  • Construct resilient agent architectures with built-in mechanisms for error recovery, self-correction, and feedback-driven improvement to maintain performance in production environments.
  • Integrate large language models (LLMs), predictive models, and reasoning frameworks into agent systems that support complex financial decision-making workflows.
  • Build APIs, tools, and microservices that connect AI capabilities with enterprise applications, enabling seamless integration at scale.
  • Optimize AI systems for low latency and high throughput, applying techniques such as response streaming, caching, and token usage optimization to ensure performance and cost-effectiveness.
  • Apply current AI research to real business challenges and collaborate with engineers across the team to elevate AI development practices and foster engineering excellence.
  • Stay current with state-of-the-art research and apply it to solve business problems, identifying opportunities for innovation
  • Collaborate with and mentor other engineers on AI best practices, fostering a culture of engineering excellence within the team.
Required Qualifications & Skills
  • 4 or more years of professional experience in software development and system design, with a demonstrated history of delivering large-scale production systems.
  • Proficiency in Python and SQL, with hands-on experience building production-quality Agentic AI solutions using frameworks such as LangChain, LlamaIndex, or equivalent tools.
  • Practical experience developing multi-agent systems using frameworks such as Google ADK, LangGraph, AutoGen, or CrewAI, including implementation of planning, reasoning, and memory systems.
  • Applied knowledge of large language models (LLMs) within agentic architectures, including designing and integrating APIs for AI services.
  • Advanced skills in Prompt and Context Engineering, with the ability to structure, compress, and optimize information for consistent and high-quality model performance.
  • Experience working with Vector Databases as part of AI retrieval and memory architectures.
Beneficial Skills & Qualifications
  • Experience working within the financial services industry, particularly in areas such as Funds Transfer, Pricing, Hedging, or Treasury technology.
  • Proficiency in Java as a secondary programming language alongside Python.
  • A Master's degree in Computer Science or a closely related field.
What We Offer

At Citi, you will work alongside talented engineers on technology that operates at global scale and drives real impact across financial markets. This is a high-visibility role within a firm-wide AI modernization initiative, offering the technical scope and career momentum that comes with building systems that matter.

  • A hybrid working model with 3 days in the office and 2 days working remotely, giving you flexibility alongside meaningful in-person collaboration.
  • The opportunity to work on a firm-wide AI initiative with broad organizational impact, giving your work visibility at the highest levels of the business.
  • Access to continuous learning and professional development, with exposure to cutting-edge AI research and the tools to apply it in production.
  • Collaboration with a high-caliber engineering team where knowledge sharing, mentorship, and technical growth are part of how the team operates every day.
  • Competitive compensation and a comprehensive benefits package that supports your financial wellbeing and long-term security.
  • Wellbeing and family support programs designed to help you maintain balance across all areas of life.
  • The scale and reach of a global institution, with the ability to see the direct effect of your engineering work across international markets and platforms.

Build the AI systems that power global financial decision-making — apply now to join Citi's Agentic AI engineering team and make your mark on technology that operates at real-world scale.

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Job Family Group: Technology

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Job Family:Applications Development

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Time Type:Full time

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Primary Location:Irving Texas United States

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Primary Location Full Time Salary Range:$107,120.00 - $160,680.00


In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Most Relevant Skills Please see the requirements listed above.

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Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date:Sep 01, 2026

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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.


Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.


Illinois residents – AI Notice and Right

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.

Skills Required

  • 4 or more years of professional experience in software development and system design, delivering large-scale production systems
  • Proficiency in Python and SQL
  • Production-quality Agentic AI experience using LangChain, LlamaIndex, or equivalent tools
  • Experience developing multi-agent systems with Google ADK, LangGraph, AutoGen, CrewAI, or equivalent frameworks
  • Experience implementing planning, reasoning, and memory systems
  • Applied knowledge of large language models within agentic architectures
  • Experience designing and integrating APIs for AI services
  • Advanced Prompt and Context Engineering skills
  • Experience with vector databases in AI retrieval and memory architectures
  • Experience in financial services, particularly Funds Transfer Pricing, Hedging, or Treasury technology
  • Proficiency in Java as a secondary programming language
  • Master's degree in Computer Science or a closely related field

Citi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.

  • Healthcare Strength Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
  • Retirement Support Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
  • Wellbeing & Lifestyle Benefits Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.

Citi Insights

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The Company
HQ: Kwun Tong, Kowloon
223,850 Employees

What We Do

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.

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