Senior Generative AI Engineer with Java Full-stack - Vice President

Citi; Maharashtra; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Citi is seeking a Senior Software Engineer in India to lead application systems analysis and programming activities. This position requires extensive experience in software engineering, particularly in Java Fullstack and machine learning applications.

The ideal candidate will demonstrate exceptional analytical skills, advanced knowledge in data analytics, and proficiency in both backend and frontend technologies, while maintaining strong communication and leadership qualities.

Qualifications

• 10+ years of experience in software engineering and application development.
• Strong proficiency in ML/GenAI and advanced statistical knowledge.
• Experience with LLMs and RAG techniques.

Responsibilities

• Lead applications systems analysis and programming activities.
• Ensure integration of functions to meet goals and implement necessary enhancements.
• Provide expertise in application design and coding standards.

Skills

Java Fullstack engineering

Machine Learning

Data Analytics

Python

Deep Learning

Natural Language Processing (NLP)

Cloud Computing (AWS)

DevOps

Frontend Development (Angular)

Database Management

Education

Bachelor's University degree

Master's degree preferred

Tools

TensorFlow

PyTorch

scikit-learn

Docker

Kubernetes

AWS

Oracle

PostgreSQL

Job description

• Architecture decision ownership.
• RAG & Knowledge Systems: RAG, Hybrid search, Chunking strategies, Embeddings pipelines, Document loaders.

This 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 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, LLM’s.
• 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.
• 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.
• 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 at least one core area of application development.
• Hands‑on experience in executing enterprise solutions that scale effectively.
• Demonstrated 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

• Bachelor’s University degree
• Master’s degree preferred

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, accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.