Pune Maharashtra Lead software engineer web analytics Jobs – 76 Open Jobs Today

Senior Java Fullstack GenAI Developer - Vice President
Citi —Pune, Maharashtra
- Full-time
- Oracle
- Data analysis skills
- Java
Automation QA Engineer-AI Driven
12th Wonder —Pune, Maharashtra
- ₹4,00,000 - ₹6,00,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
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Senior Java Fullstack GenAI Developer - Vice President

Citi -
Pune, Maharashtra

Apply Now

Job details

Full-time

Qualifications

Spring Boot
TensorFlow
CI/CD
Statistics
Oracle
Law
MCP
Kubernetes
PyTorch
Full-stack development
Relational databases
Data analysis skills
NoSQL
Git
Java
Master's degree
Application development
Databases
Pandas
AWS
Project management
Docker
Bachelor's degree
Machine learning
PostgreSQL
Continuous integration
Deep learning
REST
SciPy
Natural language processing
Angular
Data analytics
Blueprint reading
GitHub
APIs
Keras
Flask
AI
RDS database
Leadership
Jenkins
Communication skills
Graph databases
Python
Spring framework
Debugging
Identity & access management

Full job description

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

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, LLM’s.
Must Have Strong Proficiency in Python, FastAPI/Flask
Must have Advanced NLP skills, includingNamed 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:

Bachelor’s University degree
Master’s 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.

Apply Now

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