Citigroup, Inc

Software Engineer GEN AI, Assistant Vice President

Citigroup, Inc$107K — $160K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3 to 7 years of software engineering experience, 5+ for PhD holders, with proven delivery of production software.
  • Strong fundamentals in computer science: data structures, algorithms, operating systems, networking, and database design.
  • Proficiency in advanced Python techniques, including async programming and dependency management.
  • Hands-on experience with large language model (LLM) applications and multi-agent frameworks.
  • Experience constructing retrieval-augmented generation (RAG) pipelines with vector databases.
  • Familiarity with integrating AI systems using structured interfaces and knowledge of Docker, Kubernetes, or OpenShift.

Responsibilities

  • Build and maintain AI agents for product analysis, requirements capture, UI prototyping, and automated coding.
  • Implement multi-agent workflows utilizing Google ADK, including orchestration and agent-to-agent communication.
  • Integrate advanced AI models like Gemini and Anthropic Claude within agent pipelines through enterprise gateways.
  • Connect agents to documentations and project management tools like JIRA and GitHub via MCP-style interfaces.
  • Establish RAG pipelines using vector searches to ensure accurate agent responses.
  • Develop evaluation methodologies to assess agent performance, including faithfulness and relevancy.
  • Design and document API services in Python with a focus on persistent session state management.

Benefits

  • Medical, dental & vision coverage.
  • 401(k) retirement savings plan.
  • Life, accident, and disability insurance.
  • Wellness programs to support employee health.
  • Paid time off including vacation, sick leave, and holidays.
Full Job Description
Responsibilities

  • Build and maintain production AI agents covering product analysis, requirements capture, UI prototyping, backlog generation, and automated code implementation with pull request creation.


  • Implement multi-agent workflows using the Google Agent Development Kit (ADK), including sub-agent orchestration, human-in-the-loop approval gates, and agent-to-agent (A2A) messaging.


  • Integrate Gemini and Anthropic Claude into agent pipelines via enterprise gateways, applying advanced prompt engineering and structured tool/function calling.


  • Connect agents to enterprise systems, including Engineering & AI Product Documentation, JIRA, and GitHub, using MCP-style tool interfaces.


  • Build RAG pipelines using vector search, embeddings, and clustering to ground agent responses in accurate enterprise context.


  • Build evaluation harnesses (LLM-as-judge, parallel jury methods) to measure faithfulness, relevancy, hallucination rate, and task completion.


  • Write advanced, async Python and build well-documented FastAPI services, backed by persistent PostgreSQL session state.


  • Apply data structures, algorithms, and complexity analysis to keep orchestration and retrieval logic efficient at scale.


  • Instrument services for observability, maintain CI/CD and containerized deployments, apply secure coding and guardrail practices, and write tests (unit, integration, end-to-end) as part of every change.


Required Qualifications & Skills

  • 3 to 7 years of hands-on software engineering experience (5+ for PhD holders), with a track record of shipping production software.


  • Strong computer science fundamentals: data structures, algorithms and complexity, operating systems, networking, and relational database design/optimization.


  • Advanced Python (async, typing, dependency management) and solid software engineering practices: clean code, automated testing, version control, and CI/CD.


  • Hands-on experience with LLM application development (prompt engineering, tool/function calling, structured outputs) and multi-agent/agentic frameworks.


  • Practical RAG pipeline experience using vector databases and embedding-based retrieval, plus familiarity with structured LLM/agent output evaluation methods.


  • Experience integrating AI systems with external tools/documentation via structured interfaces (e.g., MCP), and working knowledge of Docker and Kubernetes/OpenShift.


Beneficial Skills & Qualifications

  • Direct experience with Google ADK or comparable orchestration frameworks; observability tooling (Langfuse, Prometheus, distributed tracing).


  • Exposure to Go, and front-end development with React/TypeScript (including SSE streaming).


  • Experience with ChromaDB/pgvector, HDBSCAN clustering, HashiCorp Vault, and SSO/JWT authentication patterns.


  • Experience with GitHub, JIRA, and documentation-search integrations for backlog and pull request workflows.


Education:
  • Bachelor's degree in Computer Science, or a related field.


Job Family Group:
Technology

Job Family:
Digital Software Engineering

Time Type:
Full time

Primary Location:
Irving Texas United States

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.

Most Relevant Skills
Please see the requirements listed above.

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

Anticipated Posting Close Date:
Sep 25, 2026

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.

About Citigroup, Inc

Citigroup is a financial services holding company that provides financial products and services. The company operates through two segments, Global Consumer Banking (GCB) and Institutional Clients Group (ICG). The GCB segment offers traditional banking services to retail customers through retail banking, commercial banking, Citi-branded cards, and Citi retail services. The ICG segment offers various banking, and financial products and services to corporate, institutional, public sector, and high-net-worth clients. This segment provides wholesale banking products and services, including fixed-income and equity sales and trading, foreign exchange, prime brokerage, derivative services, equity and fixed-income research, corporate lending, investment banking, and advisory services, private banking, cash management, trade finance, and securities services. Citi is committed to sustainability and social responsibility, and the company invests in initiatives that promote economic progress.

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Learn more about Citigroup, Inc
Market Cap
$1.3 billion
Industry
Net Income
$89.6 million
Founded
1812
5 Year Trend
+4.6%
NASDAQ

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