AI / GenAI Engineer [T500-20114]

About Us :

MUFG Bank, Ltd. is Japan’s premier bank, with a global network spanning in more than 40 markets. Outside of Japan, the bank offers an extensive scope of commercial and investment banking products and services to businesses, governments, and individuals worldwide. MUFG Bank’s parent, Mitsubishi UFJ Financial Group, Inc. (MUFG) is one of the world’s leading financial groups. Headquartered in Tokyo and with over 360 years of history, the Group has about 120,000 employees and offers services including commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing. The Group aims to be the world’s most trusted financial group through close collaboration among our operating companies and flexibly respond to all the financial needs of our customers, serving society, and fostering shared and sustainable growth for a better world. MUFG’s shares trade on the Tokyo, Nagoya, and New York stock exchanges.

MUFG Global Service Private Limited :

Established in 2020, MUFG Global Service Private Limited (MGS) is 100% subsidiary of MUFG having offices in Bengaluru and Mumbai. MGS India has been set up as a Global Capability Centre / Centre of Excellence to provide support services across various functions such as IT, KYC / AML, Credit, Operations etc. to MUFG Bank offices globally. MGS India has plans to significantly ramp-up its growth over the next 18-24 months while servicing MUFG’s global network across Americas, EMEA and Asia Pacific.

About the Role : Position Title :

AI / GenAi Engineer

Corporate Title : Analyst

Location : Bengaluru

Job Profile : Position details :

The AI / GenAI Engineer will contribute to the design, development, and deployment of AI and GenAI solutions. This role focuses on building scalable models, supporting automation initiatives, and collaborating with cross-functional teams to deliver impactful AI capabilities across the organization.

Roles and Responsibilities :

AI / GenAI Development & Implementation :

Develop and maintain AI / GenAI models and applications tailored to business needs.

Collaborate on solution design, prototyping, testing, and deployment.

Support the development of chatbots and automation flows using LLMs, vector databases, and AI frameworks, fine tuning

Evaluate, develop AI / GenAI solution with LLMs from leading providers (e.g., OpenAI, Claude, Llama).

Contribute to the integration of AI tools into existing systems and workflows.

Infrastructure & Technology Stack :

Assist in designing and deploying infrastructure components for AI workloads across on-premise and cloud environments.

Work with Azure services such as MS OpenAI, AI Search, Form Recognizer, ADLS, and Cosmos DB.

Security & Compliance :

Implement security controls to safeguard data and models.

Ensure AI solutions comply with internal security and governance standards.

Collaboration & Enablement :

Work closely with business and IT teams to understand requirements and deliver solutions.

Support training sessions and create documentation to enable users and developers.

Participate in knowledge-sharing initiatives and contribute to a community of practice.

Support & Maintenance :

Provide ongoing support for deployed AI solutions, including troubleshooting and performance optimization.

Job Requirements : Qualifications :

Bachelor’s degree in Artificial Intelligence, Data Science, Computer Science, or a related field.

Min. 4 years of experience in the IT industry, with 3 years in AI / GenAI development.

Working knowledge of AI / GenAI technologies including ML, NLP, and generative models.

Familiarity with AI frameworks (e.g., TensorFlow, PyTorch).

Experience with Azure Cloud services, MS OpenAI, AI Search, Form Recognizer, ADLS, Cosmos DB.

Deep understanding and practical experience with LLMs such as GPT, Llama, Claude, T5, BERT, etc.

Familiar with open source such as projects like LangChain, LlamaIndex, OpenLLM

Excellent knowledge in Prompt Engineering, RAG, fine-tuning, agentic AI.

Understanding MLOps and DataOps practices.

Familiarity with AI frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (especially Azure).

Experience with REST APIs and development frameworks like Django, Express.js, or Spring Boot.

Exposure to data platforms, NoSQL / RDBMS design, and analytics tools.

Strong problem-solving skills and a passion for innovation.