Generative AI Software Engineer (Innovation Lab)

The Citi Innovation Lab is a leader in creating new ideas, innovative technology solutions, and ground-breaking innovations for Citi's global banking business. We're part of a global network of innovation centers, and our mission is to create competitive advantage for our clients by providing innovative technological solutions.

The role:

You will take part in the implementation of new and strategic platform offering Generative AI (Gen AI) capabilities such as inference, fine tune, data curation, data labelling and more.

We are seeking a highly skilled software engineer to design, develop and deploy state-of-the-art scalable, efficient Gen AI solutions. You will be part of a high-performing engineering team that values collaboration, innovation, and teamwork. This role is perfect for someone who thrives in an environment where ideas are shared, challenges are met together, and success is a collective achievement.

Key Job responsibilities:

Design and implement Gen AI platform components, using Python and modern microservices.
Drive engineering and operational excellence and best practices.
Collaborate with tech, product, program and business peers to deliver customer value and drive product vision.
Drive the end-to-end development of AI systems, from research and experimentation to deployment and scaling
Mentor and support engineers, fostering a culture of collaboration, knowledge-sharing, and continuous learning
Analyze complex problems, identify and define the requirements to solve them.
Apply DevOps principles to maintain high-performance and scalable AI systems.
Design and implement secure APIs, ensuring data protection and secure interaction with AI models.
Stay updated on the latest Gen AI trends and technologies, bringing fresh ideas to the team

Experience & Qualifications

Academic degree in Computer Science or equivalent
Extensive experience contributing to the architecture and design (architecture, design patterns, reliability, and scale) of new and current systems
Proficiency in Python python libraries and modules
Experience with Kubernetes-based continuous delivery, utilizing Jenkins, Tekton, and Docker to automate and streamline deployments
Strong understanding of Generative AI principles, including Large Language Models (LLMs), RAG techniques, Fine tuning , inference and more – Big advantage
experienced with Gen AI related python libraries and modules - Big advantage
Excellent problem-solving and analytical skills
Proficiency in Git for version control and collaboration in development workflows
Experience in Java/GO – An advantage
Expertise with Oracle and vector databases (e.g, PostgreSQL) for data storage and retrieval – an advantage
Excellent interpersonal skills, team player with strong communications skills

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Technology

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Job Family:

Systems & Engineering

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Time Type:

Full time

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