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We are seeking a highly skilled and passionate Senior GenAI Specialist with 8-10 years of experience to join our growing team in Pune, India. You will play a critical role in designing, developing, and implementing cutting-edge Generative AI (GenAI) solutions, including exploring and applying advanced concepts like Agentic AI and RLHF, within our financial operations. This role offers a unique opportunity to contribute to high-impact projects, leveraging your deep technical expertise in GenAI, LLMs (including Llama 3, and Llama 4, Gemini), RAG pipelines, vector databases, chatbot development, and the latest advancements in the field. Collaborate with engineers and stakeholders, driving innovation by applying GenAI to solve complex financial problems and shape the future of finance with AI.
Job Responsibility:
Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
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
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:
6-10 years of relevant experience in Apps Development or systems analysis role
Extensive experience system analysis and in programming of software applications
Experience in managing and implementing successful projects
Subject Matter Expert (SME) in at least one area of Applications Development
Ability to adjust priorities quickly as circumstances dictate
Demonstrated leadership and project management skills
Consistently demonstrates clear and concise written and verbal communication
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