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Citigroup
Citigroup

Global investment banking and financial services

Gen AI Developer

직무머신러닝
경력미들급
위치WARSAW, Poland
근무오피스 출근
고용정규직
게시2개월 전
지원하기

필수 스킬

Python

Java

SQL

Machine Learning

The Gen AI Developer is a senior-level position responsible for designing, developing, and deploying AI agents capable of understanding goals, planning actions, and executing tasks with minimal human intervention. This role requires a strong understanding of AI principles, agent-based systems, machine learning, and software engineering best practices.

The ideal candidate will be able to translate research ideas into robust and scalable production systems. In coordination with the Technology team, this role will also be responsible for establishing and implementing new or revised application systems and programs. The overall objective of this role is to lead applications systems analysis and programming activities.

Key Responsibilities:

  • Agent Design and Development: Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules.

  • System Architecture: Develop scalable and robust architectures for agentic systems, ensuring high performance, reliability, and security.

  • Machine Learning Integration: Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities and decision-making.

  • Task Automation: Develop agents that can automate complex tasks, optimize workflows, and solve real-world problems across various domains.

  • Framework and Tooling: Utilize and contribute to agentic AI frameworks and development tools.

  • Evaluation and Optimization: Design and implement metrics and evaluation strategies for agent performance, continuously optimizing and improving agent behavior.

  • Research and Innovation: Stay abreast of the latest advancements in AI, particularly in agent-based systems, autonomous AI, and related fields, and propose innovative solutions.

  • Collaboration: Work closely with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate agentic solutions into broader products and services.

  • Documentation: Create comprehensive technical documentation for agent designs, implementations, and operational procedures.

  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Required Qualifications:

  • 4+ years of professional experience in software development with a focus on AI, machine learning, or agent-based systems.

  • Experience in finance industry a plus.

  • Programming: Strong proficiency in Python, SQL; Java is a plus.

  • AI/ML Expertise:

Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems.

  • Experience with machine learning frameworks (e.g., Tensor Flow, Py Torch) and relevant libraries (e.g., Scikit-Learn, Num Py, Pandas).

  • Familiarity with large language models (LLMs) and their application in agentic systems.

  • Familiarity with specific agent frameworks (e.g., Lang Chain, Auto Gen, CrewAI, RAG) or research in multi-agent reinforcement learning.

  • Experience in designing and implementing APIs for AI services.

  • Software Engineering: Experience with software development best practices, including version control (Git), CI/CD pipelines, testing, and code reviews.

  • Problem-Solving: Excellent analytical and problem-solving skills with a creative approach to complex challenges.

  • Communication: Strong written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.

  • Platforms: Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).

Education:

  • Bachelor's degree in computer science, artificial intelligence, robotics, or a related quantitative field, or equivalent experience

We Offer:

By joining Citi Solutions Center Poland, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed) and enjoy a whole host of additional benefits such as:

  • Private Medical Care Program

  • Life Insurance Program

  • Pension Plan contribution (PPE Program)

  • Employee Assistance Program

  • Paid Parental Leave Program (maternity and paternity leave)

  • Sport Card

  • Holidays Allowance

  • Sport and team recreation activities

  • Special offers and discounts for employees

  • Access to an array of learning and development resources

  • A discretional annual performance related bonus

  • A chance to make a difference with various affinity networks and charity initiatives

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive.

Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location Full Time Salary Range:

189 660,00 zł - 322 940,00 zł

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

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

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.

This job opening is for an existing job vacancy.

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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Citigroup 소개

Citigroup

Citigroup

Public

Citigroup Inc. or Citi is an American multinational investment bank and financial services company based in New York City. The company was formed in 1998 by the merger of Citicorp, the bank holding company for Citibank, and Travelers; Travelers was spun off from the company in 2002.

10,001+

직원 수

New York City

본사 위치

$86B

기업 가치

리뷰

10개 리뷰

3.7

10개 리뷰

워라밸

3.8

보상

2.5

문화

4.0

커리어

3.2

경영진

3.5

65%

지인 추천률

장점

Good work-life balance

Supportive management and colleagues

Good benefits

단점

Low or uncompetitive salary/pay

Long hours during peak times

Poor management and lack of direction

연봉 정보

48개 데이터

Mid/L4

Senior/L5

Mid/L4 · BUSINESS ANALYTICS SENIOR ANALYST

3개 리포트

$117,000

총 연봉

기본급

$120,800

주식

-

보너스

-

$117,000

$117,000

면접 후기

후기 3개

난이도

3.3

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 33%

부정 67%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Panel/Group Interview

5

Final Round

6

Offer

자주 나오는 질문

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Culture Fit