Gen AI-ML Engineer – AVP

Citi

. Design, develop, and implement GenAI solutions for various financial applications, including personalized recommendations, risk assessment, fraud detection, and automated reporting.

Posted 5/22/2026full-timeIrving • Florida, Texas • 🇺🇸 United StatesLead💰 $107,120 - $160,680 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDjangoDockerFlaskGoogle Cloud PlatformKubernetesNumpyPandasPostgresPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Design, develop, and implement GenAI solutions for various financial applications, including personalized recommendations, risk assessment, fraud detection, and automated reporting.
Explore and experiment with advanced GenAI concepts like Agentic AI.
Design and implement intelligent chatbots.
Process and analyze large datasets of structured and unstructured financial data.
Architect and implement efficient RAG pipelines, leveraging tools like LlamaIndex and LangChain.
Develop and refine advanced prompting strategies for LLMs.
Test, evaluate, and analyze the performance of LLM and other GenAI models.
Collaborate closely with engineering teams to deploy and maintain GenAI models in production environments, including containerization, CI/CD pipelines, and cloud infrastructure management.
Communicate effectively with business stakeholders.
Stay up-to-date with the latest advancements in GenAI research and development, including areas like Agentic AI.

Requirements

What you’ll need

5 years+ of experience in AI/ML development, with a proven track record of building and deploying sophisticated GenAI applications.
Deep understanding of GenAI models and architectures, including transformers, LLMs (e.g., Llama, Gemini, GPT-4), GANs, and diffusion models.
Familiarity with Agentic AI concepts.
Extensive experience with prompt engineering, fine-tuning LLMs, and evaluating their performance.
Expert-level Python programming skills and proficiency with relevant libraries (e.g., Transformers, LangChain, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, LlamaIndex).
Experience with vector databases (e.g., Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions) and implementing RAG pipelines using tools like LlamaIndex and LangChain.
Strong software engineering skills, including containerization (Docker, Kubernetes), CI/CD pipelines, and cloud infrastructure management (AWS, Azure, GCP).
Strong analytical, problem-solving, and communication skills.
Experience with MLOps principles and tools.
Excellent collaboration skills.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI/ML developmentGenAI applicationsGenAI modelstransformersLLMsprompt engineeringfine-tuning LLMsperformance evaluationPython programmingsoftware engineering

Soft Skills

analytical skillsproblem-solving skillscommunication skillscollaboration skills