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Job Overview

This is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.

Qualifications:

7-11 years of relevant Python application development experience experience with strong exposure to Generative AI
Strong programming skills in Python, and familiarity with libraries like Transformers, Pandas, scikit-learn, Seaborn, Lang Chain, LlamaIndex, PyTorch, or TensorFlow.
Experience building applications with Open AI, Anthropic Claude, Google Gemini, or opensource LLMs.
Working knowledge of retrieval-augmented generation (RAG) pipelines and vector databases.
Understanding of ML Ops, model evaluation, prompt tuning, and deployment pipelines.
Build and tune LLM-based applications using platforms like Vertex, GPT, Lamma, Hugging Face, etc.
Create robust prompt engineering strategies and reusable prompt templates.
Integrate generative AI with enterprise applications using APIs, knowledge graphs, vector
databases (e.g., PG Vector, Neo4j, Mongodb), and orchestration tools.
Experience in systems analysis and programming of software applications
Experience in managing and implementing successful projects
Working knowledge of consulting/project management techniques/methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements

Education:

Bachelor’s degree/University degree or equivalent experience

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:

Applications Development

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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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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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