Senior GenAI Specialist, Citi

Citi

Location:
India, Pune

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

Save Job

Apply Position

Job Description:

A senior role focused on designing, developing, and implementing advanced Generative AI solutions for financial applications, utilizing technologies such as agentic AI, LLMs, RAG pipelines, and vector databases, with a focus on innovation and collaboration.

Job Responsibility:

Design, develop, and implement sophisticated GenAI solutions for diverse financial applications, exploring advanced concepts like Agentic AI and RLHF
design and implement intelligent chatbots for enhanced customer interaction and operational efficiency
process and analyze massive datasets of structured and unstructured financial data, applying advanced techniques for feature engineering, data cleaning, and model training
architect and implement highly efficient RAG pipelines, integrating LLMs with various data sources, including vector databases and knowledge graphs
leverage tools like LlamaIndex and LangChain
develop and refine advanced prompting strategies for LLMs, optimizing performance and ensuring high-quality, contextually relevant outputs using your deep understanding of prompt engineering
thoroughly test, evaluate, and analyze the performance of various LLMs, including Llama 3 and Llama 4, and other GenAI models
collaborate closely with engineering teams to deploy and maintain GenAI models in production, championing MLOps and robust software engineering practices
communicate effectively with business stakeholders, translating complex technical concepts into actionable insights
continuously expand your GenAI expertise, staying at the forefront of research and development in areas like Agentic AI, multi-modal GenAI, and emerging trends

Requirements:

Master’s degree or PhD in a relevant field
8-10 years of experience in AI/ML development with a proven track record in GenAI
deep understanding of GenAI models and architectures, including transformers, LLMs (Llama 3, Llama 4, Gemini, GPT-4), GANs, and diffusion models
solid understanding of Agentic AI principles
extensive experience in prompt engineering, fine-tuning LLMs, applying RLHF, and evaluating LLM performance
proven ability to use, implement, and evaluate various LLMs
expert-level Python skills and proficiency with relevant libraries (Transformers, LangChain, LlamaIndex, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django)
experience with vector databases (Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with pgvector, Redis) and implementing RAG pipelines
strong software engineering skills (containerization, CI/CD pipelines, cloud infrastructure management)
strong analytical, problem-solving, communication, and collaboration skills
experience with MLOps principles and tools
experience with large-scale datasets and distributed computing

Nice to have:

Experience with financial data and applications (fraud detection, risk management, personalized advice)
strong understanding of financial markets and instruments
familiarity with chatbot development frameworks and conversational AI design
experience leading complex data science or AI/ML projects in an agile environment
publications or presentations at AI/ML/GenAI conferences
experience with data visualization and reporting tools (Tableau, Power BI, matplotlib, seaborn)
experience with SQL and NoSQL databases

Additional Information:

Job Posted:
August 05, 2025

Employment Type:

Fulltime

Work Type:

On-site work

View All Jobs In This Company

Job Link Share:

Senior GenAI Specialist