Software Engineer, VP

MUFG•Jersey City, NJ

2d•$153,000 - $205,000•Hybrid

About The Position

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.

Requirements

8+ years of software development experience.
Strong expertise in Java (11/17), Spring Boot, Spring Cloud, Hibernate/JPA.
Strong Python programming experience.
Hands-on experience developing AI agents or agentic workflows.
Experience with LLM integration and prompt engineering.
Experience with AI orchestration frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or Amazon Bedrock Agents.
Experience building REST APIs and GraphQL services.
Strong knowledge of Microservices Architecture and Event-Driven Design.
Experience with ReactJS and TypeScript.
Experience with Kubernetes, Docker, and container orchestration.
Strong experience with AWS cloud services.
Strong SQL skills with Oracle, PostgreSQL, MySQL, or DB2.
Experience implementing CI/CD pipelines using Jenkins or similar tools.
Experience with Git, Maven, Agile, and Scrum.

Nice To Haves

Experience with Amazon Bedrock, AWS AI services, or similar Generative AI platforms.
Experience developing enterprise AI assistants, copilots, or conversational AI applications.
Experience implementing Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, or AI agent orchestration.
Experience with Keycloak, OAuth2, OpenID Connect, or enterprise identity platforms.
Experience integrating Tableau, Power BI, or analytics platforms with AI solutions.
Exposure to Vector Databases, Retrieval-Augmented Generation (RAG), embeddings, and semantic search.
Experience with Kafka, JMS, SNS/SQS, or other messaging platforms.

Responsibilities

Design and develop scalable backend services using Java (11/17), Spring Boot, and Spring Cloud.
Develop AI-powered applications and autonomous agents using Python and modern AI frameworks.
Design and implement Agentic AI solutions capable of planning, reasoning, orchestration, and tool invocation.
Build and integrate AI agents with enterprise systems using REST APIs, GraphQL, MCP (Model Context Protocol), and event-driven architectures.
Integrate Large Language Models (LLMs) such as Amazon Nova, Anthropic Claude, or OpenAI models into enterprise applications.
Develop and deploy cloud-native applications on AWS using Lambda, EKS, EC2, S3, SNS, SQS, IAM, and API Gateway.
Build responsive web applications using ReactJS and TypeScript.
Design high-performance relational database solutions using Oracle, PostgreSQL, MySQL, or DB2.
Build CI/CD pipelines and automate deployments using Jenkins, GitHub Actions, or similar tools.
Ensure application reliability through observability using Splunk, Datadog, or CloudWatch.
Collaborate with architects, product owners, and cross-functional teams to deliver secure, scalable enterprise solutions.
Leverage AI-assisted development tools such as GitHub Copilot, Amazon Kiro, or similar developer productivity tools.