Full Stack Engineer (AI & Agentic AI Systems)

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Job Overview

The Full Stack Engineer (AI & Agentic AI Systems) is a strategic professional who will play a pivotal role in architecting and delivering next‑generation intelligent applications that blend advanced software engineering, autonomous agents, and robust end‑to‑end engineering. In this role, you will work across the entire technology stack— REACT based front ends, designing scalable backend services (JAVA/Python), intuitive user experiences, and AI‑driven workflows that reason, plan, and act with minimal human intervention. You’ll collaborate with cross‑functional teams to transform complex business challenges into innovative, production‑ready AI systems that push the boundaries of automation, intelligence, and modern software engineering.

Key Responsibilities:

• Design and deliver end‑to‑end solutions spanning architecture, system design, low‑level design, and high‑quality coding across modern full‑stack environments.
• Build responsive, modular UI applications using React, integrating complex AI-driven workflows and real‑time interactions.
• Develop scalable, high‑performance backend services in Java / Python, implementing resilient APIs, event‑driven patterns, and microservices architectures.
• Strong expertise in SQL (Oracle, PostgreSQL), no SQL DB like MangoDB, PYTHON, JAVA, APIs, Authentication & Authorization like OAuth and others, Encryption
• Engineer AI‑powered features leveraging Google Gemini LLM, Vertex AI, ADK, vector databases (A2A), RAG pipelines, MCP, context engineering, and advanced prompt engineering techniques.
• Implement secure, well‑structured REST and GraphQL APIs, ensuring reliability, versioning discipline, and clean integration patterns across platforms.
• Optimize system performance and scalability, applying profiling, load‑testing insights, caching strategies, and distributed system tuning.
• Drive robust CI/CD practices, integrating automated testing, code quality gates, containerization, and cloud‑native deployment pipelines.
• Partner with QE to build and maintain automated test suites (UI, API, integration, and performance), improving release quality and reducing regression risk.
• Identify, diagnose, and remediate performance bottlenecks, penetration testing vulnerabilities, and production issues with precision and root‑cause clarity.
• Collaborate cross‑functionally with AI scientists, architects, and product teams to translate business challenges into production‑ready, intelligent agentic systems.

Other Responsibilities:

• Turn tech stack and application design into code on multiple development platforms (e.g. iOS, Android, web/Angular, services).
• Address a variety of responses to problems, questions, or situations by applying established criteria to directly influence development outcomes. In doing so, use the right technology to solve technical challenges required to deliver small scale features and functions and / or supporting aspects of a larger program efforts.
• Responsible for applications systems analysis and programming activities that may include assisting with feasibility studies, time and cost estimates and implementation of new or revised applications systems and programs.
• Accountable for development, design, construction, testing and implementation and write secure, stable, testable and maintainable code.
• Expected to operate with autonomy, while some oversight and direction may be required.
• Engage in digital applications development, risk technology, Middleware, Mainframe applications, Non Mainframe applications, Analytic Model Development and Application support activities to meet specific business needs of user areas and to test systems to ensure integrity of deliverables.
• Expected to provide sound understanding of application development concepts and principles and a basic knowledge of concepts and principles in other technology areas.
• On occasion, may need to consult with users, clients and other technology groups on issues and recommend programming solutions for customer exposed systems.
• Take the time to fully learn the functionality, architecture, dependencies, and runtime properties of the systems involved with your projects. This includes the business requirements, applications/services, runtime operations (including trouble management/associated support strategies), and maintenance.
• Understand the business context and the associated customer use cases.
• Understand the team’s technologies and are able to evaluate system designs and architecture as you participate in solution discussions, development and the creation of application / systems documentation.
• Drive clarity into technical implementation by driving system build and performance discussions, providing technical context to team members as required and competently represent your team’s systems to others both inside and outside Digital.
• Occasionally need guidance from peers and / or manager as the team’s operating procedures and technology is well defined.
• Build and maintain integrated project development schedules that account for internal / external dependencies, differing SDLC approaches, numerous constraints, and adequately factor in contingency for unplanned delays.
• Negotiate features and associated priority and help the team and their customers reach consensus.
• Verbal and written communication is clear and concise.
• Clearly articulate development and timeline dependencies.
• Have good working relationships with team members, manager, and peers.
• Improve team development related processes that accelerate delivery, drive innovation, lower costs, and improve quality.
• Ensure self and peers are actively seeking ways to objectively measure productivity. (i.e., SonarQube Findbugs). This will include a focus on automating code quality, code performance, unit testing, and build processing in the CI/CD pipeline (RTC, Jenkins, RLM)
• 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:

• 2-5 years in an Apps Development role. Demonstrated execution capabilities.
• Strong analytical and quantitative skills; Data driven and results-oriented
• Experience in running high traffic, distributed, cloud based services
• Experience in affecting large culture change
• Experience leading infrastructure programs
• Skilled at working with third party service providers
• Excellent written and oral communication skills

Education:

• Bachelor’s/University degree or equivalent experience

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Job Family Group:

Technology

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Job Family:

Digital Software Engineering

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

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

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