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We are Citi’s Markets team—a group of passionate and talented engineers, product managers, and tech specialists transforming ambiguous ideas into cutting-edge, scalable products. We specialize in Generative AI, backend engineering, and cloud-native architectures to develop mission-critical systems at a global scale. Our team is at the forefront of innovative AI-powered applications, large-scale infrastructure, and modern backend development using Java, Python, Golang, Spring Boot, Flask, and Kubernetes. We focus on integrating RAG-powered LLMs, implementing advanced vector search (FAISS, Milvus, Pinecone), and building scalable and high-performance AI-driven solutions.
Job Responsibility:
Develop AI-driven applications using Java, Python, and modern backend frameworks
Integrate LLMs into enterprise-scale systems using internal frameworks and libraries
Design and implement vector search solutions using FAISS, Milvus, and Pinecone
Build scalable APIs and backend services using Spring Boot, Flask, and FastAPI
Optimize data storage and retrieval with PostgreSQL/MongoDB and distributed databases
Deploy and manage cloud-native applications using Kubernetes and Docker
Implement security best practices with Spring Security and SSO
Leverage Maven or Gradle for efficient Java project build and dependency management
Mentor and support fellow engineers, fostering a culture of learning and collaboration
Requirements:
Deep hands-on software engineering expertise in Java or Python
Experience with backend development for AI-powered systems
Experience building high-performance APIs using Spring Boot, Flask
Experience with Maven or Gradle for Java project dependency management
Understanding of security best practices (Spring Security, SSO, authentication protocols)
Comfortable working with Kubernetes, Docker, and cloud-native architectures
Proficiency in Java or Python for backend development
Strong knowledge of Spring Boot, Flask, FastAPI, and API design
Experience with vector search frameworks (FAISS, Milvus, Pinecone)
Expertise in Kubernetes and Docker for scalable deployment
Understanding of authentication & security frameworks (Spring Security, SSO)
Hands-on experience with PostgreSQL and distributed storage
Familiarity with Golang (a plus but not mandatory)
Experience working in cloud-native, high-performance environments
Contributions to open-source AI/ML or backend engineering projects
Nice to have:
Familiarity with Golang
Contributions to open-source AI/ML or backend engineering projects
What we offer:
27 days annual leave (plus bank holidays)
Discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
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