The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
Responsibilities:
- Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code
- Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems
- Apply fundamental knowledge of programming languages for design specifications.
- Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging
- Serve as advisor or coach to new or lower level analysts
- Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions
- Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents
- Has the ability to operate with a limited level of direct supervision.
- Can exercise independence of judgement and autonomy.
- Acts as SME to senior stakeholders and /or other team members.
- 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.
Qualifications:
- Expert-Level Python Development: 5-8 years of experience building robust, production-grade backend services and applications using modern Python frameworks (e.g., FastAPI, Flask, Django).
- Must-Have AI/LLM Application Expertise: Proven, hands-on experience building and deploying solutions using Large Language Models (LLMs). This includes designing complex agentic workflows, deep practical knowledge of Retrieval-Augmented Generation (RAG) pipelines, and leveraging frameworks like LangChain or LlamaIndex. Familiarity with enterprise-grade agent development kits (e.g., Google ADK) is highly preferred.
- Distributed Systems Design: Strong experience with designing and building distributed, event-driven systems. Familiarity with message brokers (e.g. Kafka) is also highly preferred.
- Full Software Development Lifecycle (SDLC) Acumen: Deep understanding of the entire SDLC, from architecture and system design to development, testing, CI/CD, and deployment in a large-scale enterprise environment.
- Cloud-Native & DevOps Expertise: Solid experience with containerization (Docker) and deploying and managing applications at scale on orchestration platforms like Kubernetes or OpenShift.
Education:
- Bachelor’s degree/University degree or equivalent experience
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
- Should have relevant experience of 5-7 years
- Proficient in Java and Spring technologies.
- Good understanding of SQL and database concepts.
- Experience with AI tools like Devin, Copilot, etc.
- Knowledge of AI and Python (preferred).
- Understanding of Kafka (preferred).
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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.
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View Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- 5-8 years Python development building production backend services with frameworks like FastAPI, Flask, or Django
- Hands-on experience building and deploying solutions using Large Language Models, agentic workflows, and RAG pipelines
- Practical experience with LangChain or LlamaIndex (LLM orchestration frameworks)
- Designing and building distributed, event-driven systems
- Experience with containerization (Docker) and orchestration platforms (Kubernetes or OpenShift)
- Full SDLC experience including architecture, testing, CI/CD, and enterprise deployment
- Proficient in Java and Spring technologies
- Good understanding of SQL and database concepts
- Familiarity with message brokers (e.g., Kafka)
- Familiarity with enterprise agent development kits (e.g., Google ADK)
- Experience with AI developer tools (e.g., Devin, Copilot)
- Bachelor's degree or equivalent experience
- 5-7 (or 5-8) years relevant experience
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.
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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.
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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.
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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
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.
