The Applications Development Senior 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, with a focus on Python-based Generative AI and agentic solutions.
Responsibilities:
- Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised application systems and programs to meet specific business needs or user areas
- Design, develop, test, and support Python-based Generative AI and agentic applications using appropriate frameworks and integration patterns
- Build secure REST APIs and microservices using FastAPI or Flask, including asynchronous processing, testing, packaging, and structured-output handling
- Implement retrieval-augmented generation solutions using embeddings and vector databases, and evaluate retrieval and model quality
- Integrate agent tools using MCP or comparable patterns and contribute to multi-agent orchestration where applicable
- Monitor and control all phases of the development process, including analysis, design, construction, testing, implementation, and operational support
- Utilize in-depth specialty knowledge to analyze complex problems, evaluate business and system processes, and recommend practical solutions aligned with industry standards
- Recommend and develop security and control measures, including responsible AI practices, to support successful system design and functionality
- Consult with users, clients, and other technology groups; communicate technical options clearly and provide production support when required
- Ensure essential procedures are followed and help define operating standards, engineering practices, and documentation
- Serve as advisor or coach to new or lower-level analysts, contribute to code reviews, and support knowledge sharing
- Operate with a limited level of direct supervision, exercise independence of judgement and autonomy, and act as a subject matter expert to senior stakeholders and 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
Recommended Qualifications:
- 7-9 years of relevant software engineering experience
- Strong hands-on experience in Python application development
- Experience delivering and supporting enterprise software applications
Must-have (Core):
- FastAPI or Flask, asynchronous programming, automated testing, and Python packaging
- Hands-on experience with at least two agentic or AI frameworks such as LangGraph, LangChain, Google ADK, AutoGen, CrewAI, LlamaIndex, Hugging Face, or equivalent
- Experience with vector databases such as PostgreSQL/pgvector, FAISS, or equivalent
- Experience with embeddings, retrieval-augmented generation, and retrieval or model evaluation
- MCP or comparable agent tool-integration patterns
- REST API and microservices design
- SQL, Git, code reviews, and technical documentation
- Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Nice-to-have:
- Financial-services or regulated-industry experience
- Cloud-native development experience
- Experience with locally hosted or open-source large language models
- Multi-agent orchestration experience
- AI observability and guardrail tooling
- Responsible AI awareness and secure AI engineering practices
Engineering Basics:
- Agile or SAFe delivery practices
- Structured-output and JSON handling
- CI/CD, Linux, containers, and production monitoring concepts
- Stakeholder communication and collaboration across technology and business teams
Education:
- Bachelor's degree/University degree or equivalent experience
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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
- Strong hands-on experience in Python application development
- FastAPI or Flask
- Asynchronous programming
- Automated testing
- Python packaging
- Hands-on experience with at least two agentic or AI frameworks (e.g., LangGraph, LangChain, Google ADK, AutoGen, CrewAI, LlamaIndex, Hugging Face)
- Experience with vector databases (PostgreSQL/pgvector, FAISS, or equivalent)
- Experience with embeddings, retrieval-augmented generation, and retrieval/model evaluation
- MCP or comparable agent tool-integration patterns
- REST API and microservices design
- SQL
- Git
- Code reviews
- Technical documentation
- Ability to work under pressure and manage deadlines
- Bachelor's degree or equivalent experience
- 7-9 years of relevant software engineering experience
- Experience delivering and supporting enterprise software applications
- Financial-services or regulated-industry experience
- Cloud-native development experience
- Experience with locally hosted or open-source large language models
- Multi-agent orchestration experience
- AI observability and guardrail tooling
- Responsible AI awareness and secure AI engineering practices
- Agile or SAFe delivery practices
- CI/CD, Linux, containers, and production monitoring concepts
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.
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