\\\\Senior Java Fullstack GenAI Developer - Vice President\\\\ is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. \\\\Responsibilities:\\\\ \\+ 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. \\\\Recommended Qualifications:\\\\ \\+ \\\\10+ years of progressive experience in software engineering, architecture\\\\ , \\\\Application Development as Java Fullstack engineer with a minimum of 3+ year strong working experience in ML/GenAI, and data analytics\\\\ \\+ \\\\Advanced knowledge of probability, statistics and linear algebra.\\\\ \\+ \\\\Expertise in statistical modelling, hypothesis testing and experimental design.\\\\ \\+ \\\\Hands on experience with LLMs (Google Gemini, Open AI, Llama etc.), LangChain, LlamaIndex, LlamaIndex for context-augmented generative AI, and Hugging Face Transformers, Knowledge graph, and Vector Databases.\\\\ \\+ \\\\Advanced knowledge of RAG techniques is required, including expertise in hybrid search methods, multi-vector retrieval, Hypothetical Document Embeddings (HyDE), self-querying, query expansion, re-ranking, and relevance filtering etc.\\\\ \\+ \\\\Must Have hands-on experience with GenAI application with Agentic AI, RAG approach, Vector databases, LLMs.\\\\ \\+ \\\\Must Have Strong Proficiency in Python, FastAPI/Flask\\\\ \\+ \\\\Must have Advanced NLP skills, including\\\\ \\\\Named Entity Recognition (NER), Dependency Parsing, Text Classification, and Topic Modelling.\\\\ \\+ \\\\Strong Proficiency in deep learning frameworks such as TensorFlow, PyTorch, scikit-learn, Scipy, Pandas and high-level APIs like Keras is essential.\\\\ \\+ \\\\Advanced NLP skills, including Named Entity Recognition (NER), Dependency Parsing, Text Classification, and Topic Modeling.\\\\ \\+ \\\\In-depth experience with supervised, unsupervised and reinforcement learning algorithms.\\\\ \\+ \\\\Proficiency with machine learning libraries and frameworks (e.g. scikit-learn, TensorFlow, PyTorch etc.)\\\\ \\+ \\\\Knowledge of deep learning, natural language processing (NLP) and natural language generation (NLG).\\\\ \\+ \\\\Hands-on experience with Feature Engineering, Exploratory Data Analysis.\\\\ \\+ \\\\Familiarity and experience with Explainable AI, Model monitoring, Data/ Model Drift.\\\\ \\+ \\\\Architecture decision ownership.\\\\ \\+ \\\\Hands-on code reviews and design reviews.\\\\ \\+ Proven hands on full-stack expertise in Java, Angular, REST APIs and relational/non-relational databases. \\+ Strong background in System analysis, Architecture and Application development \\+ Track record of successfully leading and delivering projects in dynamic environments. \\+ Recognized SME in atleast one core area of application development \\+ Hands-on experience in executing enterprise solutions that scale effectively. \\+ Demostrated curiosity to Gen AI, AI Agents or agent based systems (Professional or self driven) \\+ Ability to adjust priorities quickly as circumstances dictate \\+ Demonstrated leadership and project management skills \\+ Consistently demonstrates clear and concise written and verbal communication \\+ \\\\Must to have proven experience of below technologies\\\\ \\+ \\\\Backend: Java, Spring Boot, Microservices, REST API design\\\\ \\+ \\\\Frontend: Angular, Web Performance Optimization, Testing (Jest, Playwright)\\\\ \\+ \\\\Database & Storage: Oracle, NOSQL, PostgreSQL, Vector DBs\\\\ \\+ \\\\DevOps: CI/CD, Jenkins, GitHub Actions, Docker, Kubernetes.\\\\ \\+ \\\\Cloud: AWS (ECS, Lambda, RDS, IAM, CloudFormation).\\\\ \\+ \\\\Agentic AI: Multi Agent Architecture, Tool/Function Calling, Autonomous agents, LangGraph/Autogen, Workflow orchestration for agents, Memory management pattern, Guardrails & safety framework.\\\\ \\+ \\\\MCP: MCP architecture knowledge, Building MCP server/tools, Secure tool invocation.\\\\ \\+ \\\\RAG & Knowledge Systems: RAG, Hybrid search, Chunking strategies, Embeddings pipelines, Document loaders.\\\\ \\\\Education:\\\\ \\+ \\\\Bachelors University degree\\\\ \\+ \\\\Masters degree preferred\\\\ \-\-\---------------------------------------------------- \\\\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. \-\-\---------------------------------------------------- \Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.\\ \If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review\\\Accessibility at Citi ()\\\.\\ \View Citis\\\EEO Policy Statement ()\\\and the\\\Know Your Rights ()\\\poster.\\ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

The role requires over 10 years of progressive experience in software engineering and architecture, with a minimum of 3 years in ML/GenAI and data analytics. Advanced knowledge of probability, statistics, and linear algebra is necessary, along with expertise in statistical modeling, hypothesis testing, and experimental design. Hands-on experience with LLMs, LangChain, LlamaIndex, Hugging Face Transformers, knowledge graphs, and vector databases is essential. Advanced knowledge of RAG techniques, including hybrid search and multi-vector retrieval, is required. Proficiency in Python, FastAPI/Flask, and advanced NLP skills such as NER, dependency parsing, text classification, and topic modeling are a must. Strong proficiency in deep learning frameworks like TensorFlow, PyTorch, scikit-learn, Scipy, Pandas, and Keras is essential. Experience with supervised, unsupervised, and reinforcement learning algorithms is also required. A Bachelor's degree is required, and a Master's degree is preferred.