The Applications Development Intermediate Programmer Analyst 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.
Build REST endpoints
Refine prompts and write Agentic code
Adjusting LLM Inference parameters
Writing and refining prompts
Selecting context for given LLM window size and setup
Debugging Agent Self-Reflection loops
Calling external search libraries and writing formatting code to connect prompt templates
Writing code in compliance with risk restrictions
Documenting code to ensure compliance and reusability of work
Write SQL queries and optimize queries for LLM context retrieval
Writing unit and integration tests for LLMs
Qualifications:
AI ML Engineer
6+ years of total experience
3+ Years experience as a data scientist, or machine learning engineer (data-adjacent profession)
Proficient in every aspect of the data pipeline, including:
Data cleaning and preprocessing
Model Selection
Feature engineering
Model training and retraining
Model evaluation
Moving models into productions
Building APIs
Python expertise
Familiar with FastAPI, Flask
Some python library or libraries for calling LLMs (LangChain or similar)
Data manipulation libraries (Pandas, Numpy, Scipy)
NLPText processing and parsing library experience (SpaCy, NLTK, TextBlob
Deep LearningFamiliarity with model binaries and inferencing, experience with HuggingFace, PyTorch, or Tensorflow a plus
LLMs Able to write promptsUnderstanding of the fundamentals of Language Modeling
SQL
Education:
Bachelor’s degree/University degree or equivalent experience
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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Skills Required
- 6+ years of total experience
- 3+ years as a data scientist or machine learning engineer (data-adjacent profession)
- Proficient across the data pipeline: cleaning, feature engineering, model selection, training, evaluation, retraining, and productionization
- Experience building APIs and REST endpoints
- Python expertise
- Familiarity with FastAPI or Flask
- Experience with python LLM libraries (e.g., LangChain or similar)
- Experience with data manipulation libraries (Pandas, NumPy, SciPy)
- NLP/text processing experience (spaCy, NLTK, TextBlob)
- Familiarity with model binaries and inference; experience with HuggingFace, PyTorch, or TensorFlow
- Ability to write prompts and understanding of language modeling fundamentals
- SQL proficiency, including writing and optimizing queries for retrieval
- Bachelor's degree or equivalent experience
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
What We Do
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