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Senior Staff Generative AI Engineer

https://www.citi.com/ Logo

Citi

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Location:
United Kingdom , London

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

At Citi, we are pioneering the future of enterprise operations through innovative technology. Our COO-Technology Engineering and Architecture capability is at the forefront, responsible for architecting best-in-class solutions, driving end-to-end transformation, and integrating cutting-edge Generative AI solutions to unlock unparalleled efficiency, automation, and risk reduction across our global operations. We are seeking an exceptional Staff Generative AI Engineer to join our team. This is a critical, deeply hands-on role for a seasoned software engineer with a profound passion for Generative AI, Large Language Models (LLMs), and agentic frameworks. You will be instrumental in designing, building, and deploying real-world, commercial production systems, not just proofs-of-concept.

Job Responsibility:

  • Architect & Build Production Systems: Lead the hands-on development of sophisticated Generative AI applications, LLM-powered solutions, and intricate agentic frameworks primarily using Python
  • Pioneer Automation with Agents: Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes
  • Master Containerized Deployments: Demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications within OpenShift environments
  • Drive Technical Direction & Ownership: Contribute significantly to the technical strategy and roadmap for Generative AI adoption
  • Champion Engineering Excellence: Instill and uphold rigorous software engineering best practices
  • Innovate & Research: Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks
  • Mentor & Collaborate: Act as a technical leader and mentor to junior engineers
  • Iterate & Deliver: Thrive in an agile, fast-paced environment, prioritizing rapid delivery, iterative development, and adaptability
  • Ensure Responsible AI: Design and implement robust guardrails and ethical considerations into AI solutions

Requirements:

  • Proven professional software engineering experience, designing, building, and delivering scalable enterprise-grade solutions in commercial production environments
  • Expert-level proficiency in Python
  • Extensive hands-on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks
  • Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift
  • Demonstrated ability to architect, develop, and deploy highly performant, large-scale AI/ML systems into production environments
  • Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems
  • Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases

Nice to have:

  • Proficiency in additional programming languages such as Java, JavaScript/TypeScript, or Golang
  • Experience with specific frameworks like Spring (AI, Boot), N8N, or Flask
  • Familiarity with messaging and integration platforms such as Kafka or JMS/MQ
  • Experience with UI development using modern frameworks like React JS or StreamLit for interactive AI applications
  • Practical experience in model risk management, developing AI guardrails, and establishing end-user adoption pathways for Generative AI solutions
  • A proven track record of contributing to open-source projects or publishing relevant research in AI/ML
What we offer:
  • Unprecedented Impact & Visibility: Contribute to critical, high-visibility projects that are transforming a global enterprise
  • Cutting-Edge Technology: Work with the latest Generative AI models, agentic frameworks, and cloud-native technologies, enhanced by access to AI-assisted development tools like Devin and Copilot
  • Growth & Development: A culture of continuous learning, mentorship, and opportunities to lead and innovate
  • Benefit from extensive learning resources including Udemy for Business and Pluralsight
  • Collaborative Environment: Join a highly skilled, passionate team that values collaboration, intellectual curiosity, and shared success
  • Flexible Work Environment: Embrace a hybrid working model, balancing productive in-office collaboration (3 days) with the flexibility of working from home (up to 2 days)
  • Global Scale: Build solutions that operate at a massive scale, impacting users and operations worldwide

Additional Information:

Job Posted:
March 19, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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