Genai Tech Engineer, Citi

Genai Tech Engineer

Citi

Location:
United States, New York

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

142320.00 - 213480.00 USD / Year

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Job Description:

Citi is a global bank providing a broad range of financial products and services. The role of GenAI Tech Engineer involves developing, implementing, and driving the adoption of Generative AI technologies for enterprise solutions.

Job Responsibility:

Contribute to both, engineering and research
Take a product-focused approach and build solutions that are robust, scalable, and easy to use
Work in a fast-paced environment tackling cutting-edge problems by constantly testing and learning
Pair programming for our products, be lean in your approach and remove bureaucracy where you see it
Deliver fast, iterating and pivot as you go, rather than defining the perfect solution upfront
Develop foundational components and mature technology capabilities in AI and LLMs
Drive adoption across the enterprise

Requirements:

Deep hands-on experience in engineering and executing enterprise solutions that scale
Fluency in at least two programming languages, with preference for Python, Javascript/Typescript, Golang
Pytorch, TensorFlow experience
Understanding of language models, transformers, agentic frameworks
Rich understanding of vector stores and search algorithms
Experience in Java 8, SpringBoot, Python, Oracle/MongoDB & Docker/Kubernetes/Open Shift, messaging platforms
Direct engineering experience of high performance, large-scale AI/ML systems
Have experience supporting fast-paced startup engineering teams
Experience in model risk management, guardrails development, and end-user adoption pathways of AI / GenAI solutions

What we offer:

Discretionary and formulaic incentive and retention awards
Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Additional Information:

Job Posted:
July 29, 2025

Expiration:
September 25, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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