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Gen AI-ML Engineer

https://www.citi.com/ Logo

Citi

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Location:
United States , Irving

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Contract Type:
Not provided

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Salary:

107120.00 - 160680.00 USD / Year

Job Description:

The Gen AI-ML Engineer 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.

Job Responsibility:

  • 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:

  • 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
  • Bachelor’s degree/University degree or equivalent experience
What we offer:
  • 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
  • discretionary and formulaic incentive and retention awards

Additional Information:

Job Posted:
April 11, 2026

Expiration:
April 16, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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