Software Engineer

• 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.

• 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.

Preferred Skills

• 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.

Education:

*Bachelor’s degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience

Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position.

The typical base pay range for this role is as follows:

• New York / New Jersey: $169k-205k
• Non-New York / New Jersey: $153k-188k

depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.

Our hybrid work schedule is four days on-site and work remotely one day per week.

MUFG Benefits Summary

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any.

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.

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.