Generative AI engineer - Java full stack - Vice president

Citi; New York (NY); Hybrid; USD 42,000 - 73,000; Full time

Job summary

Citi in Pune, India, seeks an experienced Senior Generative AI Engineer with 12+ years in software engineering and a strong Java full‑stack background. You will design, develop, and deploy scalable enterprise AI solutions using LLMs, agentic architectures, and robust APIs, while integrating Python AI workflows with existing Java systems.

You’ll lead architectural decisions, drive best practices in CI/CD, security, and reliability, and collaborate across teams to deliver high‑impact AI

Qualifications

• 12+ years of software engineering experience with focus on Generative AI.
• Hands-on Java full-stack development experience required.
• Expert-level Python with FastAPI, Django, Flask, or PySpark.
• Experience with Docker and Kubernetes.
• Knowledge of LLMs and agentic AI architectures.
• Strong API design and secure, scalable systems.
• Experience with ML frameworks: TensorFlow, PyTorch, Scikit-Learn, NumPy.

Responsibilities

• Lead the engineering and execution of scalable enterprise Generative AI solutions from concept to production.
• Design and implement AI models and systems with LLMs and agentic architectures.
• Integrate AI services into enterprise systems via robust APIs.
• Apply Python frameworks for AI development and system integration.
• Leverage Java development to build robust enterprise applications.
• Ensure software development best practices, CI/CD, and security principles.

Skills

Java Full-Stack

Generative AI

Python

APIs

CI/CD

Education

Bachelor's or Master's in CS/AI

Tools

Docker

Kubernetes

FastAPI

Django

Flask

PyTorch

TensorFlow

LangChain

PostgreSQL

MongoDB

Job description

Generative AI engineer - Java full stack - Vice president

Job Req Id:

26991683

Location(s):

Pune, Maharashtra, India

Job Type:

Hybrid

Posted:

Sep. 28, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 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

We are seeking a highly experienced and innovative Senior Generative AI Engineer with over 12 years of industry experience, including a strong background in Java Full-stack development, to join our dynamic team. The ideal candidate will be instrumental in designing, developing, and deploying cutting‑edge generative AI solutions that drive significant business impact. This role requires deep hands‑on expertise in building scalable enterprise‑grade AI systems, coupled with a solid understanding of software development best practices and robust architecture patterns, with a proven track record in both Java and Python ecosystems.

Responsibilities:

• Lead the engineering and execution of scalable enterprise Generative AI solutions from concept to production.
• Design, develop, and implement advanced AI models and systems, with a focus on generative AI, leveraging large language models (LLMs) and agentic AI architectures.
• Integrate AI services into existing enterprise systems by designing and implementing robust, high-performance APIs.
• Apply expert‑level proficiency in Python frameworks (e.g., FastAPI, Django, Flask, PySpark) for AI development and system integration.
• Leverage significant past experience in Java development for building robust, scalable enterprise applications and integrating AI components within existing Java‑based systems.
• Utilize deep understanding of core AI concepts, including knowledge representation, automated planning, decision‑making under uncertainty, and multi‑agent systems, to inform solution design.
• Gain hands‑on experience with relevant AI frameworks and orchestration tools such as Google ADK, LangGraph, LangChain, AutoGen, and CrewAI.
• Leverage extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., Scikit‑Learn, NumPy, Pandas) to build and optimize AI models.
• Develop, deploy, and integrate Model Context Protocols (MCPs) into sophisticated agentic AI systems.
• Demonstrate deep familiarity and practical application of large language models (LLMs) such as ChatGPT, Claude, Gemini, and Llama within agentic systems.
• Champion software development best practices, including version control (Git), CI/CD pipelines, comprehensive testing, and rigorous code reviews.
• Ensure application resiliency and adhere to strong security principles in all AI projects.
• Apply expertise in system design, application development, and operational stability for critical AI initiatives.
• Utilize deep experience with application and data architecture patterns and designs, emphasizing API‑First Design, microservices, and event‑driven architectures.
• Leverage managed services and existing platforms effectively to accelerate development and deployment.
• Possess hands‑on experience with containerization and orchestration technologies, specifically Docker and Kubernetes.
• Proactively identify and solve complex technical challenges with excellent analytical, innovative, pragmatic, and creative problem‑solving skills.
• Qualifications:
• 12+ years of progressive experience in software engineering, with a significant focus on Generative AI.
• Prior hands‑on experience in Java Full‑stack development is required.
• Expert‑level proficiency in Python, including experience with frameworks such as FastAPI, Django, Flask, or PySpark.
• Solid understanding of core AI concepts: knowledge representation, automated planning, decision‑making under uncertainty, and multi‑agent systems.
• Demonstrated hands‑on experience with generative AI frameworks/orchestration tools like Google ADK, LanGraph, LangChain, AutoGen, or CrewAI.
• Extensive experience with machine learning frameworks (TensorFlow, PyTorch) and libraries (Scikit‑Learn, NumPy, Pandas).
• Proven experience in creating, deploying, and integrating MCPs into agentic AI systems.
• Deep familiarity with large language models (LLMs) (e.g., ChatGPT, Claude, Gemini, Llama) and their application in agentic systems.
• Strong experience in designing and implementing robust APIs for AI services.
• Proficient in software development best practices: Git, CI/CD, comprehensive testing, and code reviews.
• Strong understanding of agile methodologies, application resiliency, and security principles in AI.
• Proven expertise in system design, application development, and ensuring operational stability.
• Deep experience with application and data architecture patterns and designs, including API‑First Design, microservices, and event‑driven architectures.
• Hands‑on experience with Docker and Kubernetes.
• Proficiency in database technologies such as Oracle, Postgres, or MongoDB.
• Excellent analytical, innovative, and problem‑solving skills.
• Previous experience within the banking or financial services industry, understanding regulatory environments and specific challenges, is a plus.
• Education:
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related technical field.

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.

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