Lead Software Engineer — Enterprise Applications

Job summary

Design and deploy scalable agentic AI frameworks and generative AI solutions for banking use cases. Drive rapid prototyping and iterative delivery of production-grade AI capabilities within agile squads.

Job details

Role Overview: Citi’s Banking Technology organization is seeking a highly hands-on Lead Software Engineer to design, build, and deploy cutting‑edge AI solutions for Investment, Corporate, and Commercial Banking. This role focuses on implementing scalable, agentic AI frameworks and generative AI solutions within small, agile squads. The successful candidate will operate with an AI‑first mindset, emphasizing rapid prototyping, MVP‑driven development, and iterative delivery of production‑grade AI capabilities. Key Responsibilities: AI Solution Development: Design, implement, and deploy scalable agentic AI frameworks and generative AI solutions for critical business use cases, ensuring robustness, performance, security, and reliability. Agentic Systems: Develop and integrate agentic AI systems leveraging multiple model providers and platforms (e.g., OpenAI, Anthropic, Google APIs). Full‑Stack AI Engineering: Build full‑stack applications integrating LLM‑driven workflows and AI coding tools (e.g., Devin, GitHub Copilot). Iterative Delivery: Drive an MVP‑first, rapid‑iteration approach with continuous experimentation and improvement. Evaluation & Optimization: Define and implement metrics, evaluation strategies, and feedback loops to continuously improve AI system performance and behavior. Emerging Technologies: Research, prototype, and integrate advances in agent‑based, autonomous, and generative AI technologies. Technical Collaboration: Contribute hands‑on within cross‑functional teams and provide technical guidance and mentorship to junior engineers. Domain Alignment: Ensure AI solutions are well‑aligned to banking and financial services requirements, constraints, and business outcomes. Qualifications: Programming: Strong proficiency in Python and/or Java (Spring Boot); working knowledge of JavaScript/TypeScript (Angular, Node.js). Full‑stack experience is a plus. AI/ML Expertise: Solid understanding of core AI concepts such as knowledge representation, planning, and multi‑agent systems. Hands‑on experience with LLMs, RAG, prompt engineering, MCPs, and agent frameworks (e.g., Google ADK). Practical experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit‑learn, NumPy, Pandas). Familiarity with AI coding tools such as Devin, Claude Code, GitHub Copilot, and Antigravity. Software Engineering: Strong grounding in modern engineering practices including Git, CI/CD, testing, code reviews, agile delivery, application resiliency, and security. Architecture: Experience designing API‑first, microservices‑based and event‑driven architectures, including data engineering patterns for AI systems. Platforms: Hands‑on experience with Docker, Kubernetes, and OpenShift. Problem Solving & Communication: Strong analytical skills with the ability to clearly communicate complex technical concepts. Domain Knowledge: Solid understanding of banking/financial services and regulated environments. Nice to Have: Experience in data science (statistical modeling, experimentation) and interest in mentoring junior AI engineers. Experience: 6–10 years of progressive software engineering experience with a strong hands‑on coding background. 2+ years focused on AI software development, LLM‑based solutions, agentic systems, and/or machine learning. Demonstrated experience delivering enterprise‑scale AI capabilities into production. Education: Bachelor’s or Master’s degree in Computer Science, AI, Robotics, or a related quantitative discipline. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location Full Time Salary Range: $120,800.00 - $170,800.00 ------------------------------------------------------ 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.

What you’ll do

Design and deploy scalable agentic AI frameworks and generative AI solutions for banking use cases. Drive rapid prototyping and iterative delivery of production-grade AI capabilities within agile squads.

Requirements

Requires 6-10 years of software engineering experience with at least 2 years focused on AI, LLMs, and agentic systems. Proficiency in Python or Java and experience with modern engineering practices and cloud platforms is essential.

Listed skills

• Python · Preferred
• Java · Preferred
• Spring Boot · Preferred
• JavaScript · Preferred
• TypeScript · Preferred
• Docker · Preferred
• Kubernetes · Preferred
• CI/CD · Preferred
• prompt engineering · Preferred
• Machine learning · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Java
• Spring Boot
• JavaScript
• TypeScript
• Generative AI
• LLMs
• Agentic AI
• RAG
• Docker
• Kubernetes
• OpenShift
• CI/CD
• Microservices
• Prompt Engineering
• Machine Learning
• Claude Code
• GitHub Copilot
• Domain Knowledge
• Engineering Practices
• Generative Artificial Intelligence
• Agentic Systems
• OpenAI
• Workflow Management
• Knowledge Representation
• Git (Version Control System)
• Emerging Technologies
• Resilience
• Planning
• IT Security Architecture
• Analytical Skills
• JavaScript (Programming Language)
• Research
• Agile Methodology
• Artificial Intelligence
• Angular (Web Framework)
• Software Development
• Commercial Banking
• Investments
• Decision Making
• Code Review
• Communication
• Computer Science
• Data Engineering
• Financial Services
• Google APIs
• Scalability
• Problem Solving
• Spring Framework
• Python (Programming Language)

Job areas

• Technology
• Software
• Finance & Accounting
• Data & Analytics
• Engineering
• Enterprise Software Engineer
• Application Developer / Engineer
• Software Developers

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