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Citi

Senior AI Engineer, Vice President

London
Posted 1 day ago
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Job Title

We are building the most consequential AI solutions in Funds Transfer Pricing and Financial Hedging platforms, and we are looking for a Senior AI Engineer to design & develop Agentic AI solutions for these domains.

About the Role

The ideal candidate is a visionary engineer, passionate about architecting and building sophisticated AI agents from concept to production. In this position, you will be responsible for creating agentic solutions that automate complex workflows, enhance critical decision-making, and deliver scalable, cutting-edge technology at a global scale.

Responsibilities

Advanced Agent and Model Development

  • Design and orchestrate complex multi-agent systems where autonomous agents collaborate, coordinate, negotiate, and delegate tasks to solve business problems that exceed the capabilities of a single agent.
  • Design and implement advanced planning and reasoning capabilities using techniques such as knowledge graphs for relationship-aware reasoning, rule-based and symbolic reasoning for deterministic business decisions, and planning/search algorithms to execute complex multi-step workflows reliably and efficiently.
  • Develop resilient and adaptive agent architectures with mechanisms for feedback-driven improvement, error recovery, self-correction, and dynamic replanning to enhance reliability, accuracy, and task completion rates.
  • Integrate large language models (LLMs), predictive models, and reasoning frameworks to expand agent capabilities, improve decision quality, and support complex business workflows.
  • Design and optimize Retrieval-Augmented Generation (RAG) architectures, including embedding strategies, vector databases, retrieval pipelines, reranking, and context management to maximize response accuracy and relevance.
  • Design and develop APIs, tools, and microservices that enable seamless integration of AI capabilities with enterprise applications, databases, and business platforms.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Performance and Optimization

  • Optimize AI systems for low latency and high throughput. Implement advanced techniques such as response streaming and caching, while ensuring cost-effectiveness through strategic model selection and rigorous token usage optimization.

Technical Leadership and Strategy

  • AI Research and Strategy: Act as a subject matter expert, driving the technical strategy for AI within the Funds Transfer Pricing and Financial Hedging domains by staying abreast of state-of-the-art research and identifying opportunities for innovation.
  • Mentorship and Technical Guidance: Mentor junior engineers on AI best practices and provide technical leadership across multiple project teams, fostering a culture of engineering excellence.

Required Qualifications & Skills

  • Professional experience in software development and system design.
  • Proficiency in Python and SQL, with experience in production-quality Agentic AI development; applied experience with frameworks like LangChain, LlamaIndex, or equivalents.
  • A proven track record of architecting multi-agent systems using frameworks like Google ADK, LangGraph, AutoGen, or CrewAI. This includes hands-on experience with planning/reasoning, memory systems, MCP, and Vector DBs.
  • Practical knowledge of LLMs and their application within agentic architectures, including API design and integration for AI services.
  • Demonstrated mastery of Prompt and Context Engineering, including the ability to structure and compress information for optimal model performance.

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Beneficial Qualifications & Skills

  • Experience working in the financial services industry.
  • Proficiency in Java as an additional programming language.

Education

  • Bachelor’s degree/University degree in Computer Science or a related field.
  • Master's degree preferred

Job Details

  • Job Family Group: Technology
  • Job Family: Applications Development
  • Time Type: Full time

Skills

  • Most Relevant Skills: Please see the requirements listed above.
  • Other Relevant Skills: For complementary skills, please see above and/or contact the recruiter.

Equal Opportunity Employer

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.

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Skills

Python
SQL
Agentic AI
LangChain
LlamaIndex
Multi-agent systems
LangGraph
AutoGen
CrewAI
Large Language Models
RAG
Vector Databases
Prompt Engineering
System Design
Financial Hedging
Funds Transfer Pricing

Location

London, England, United Kingdom

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