M
Unit Head (Artificial Intelligence- Digital Banking)
Mutual Trust Bank PLC
Dhaka
Full TimeNot specifiedBdJobsActive Hiring
Salary
Negotiable
Deadline
1 May 2026
Source
BdJobs
Location
Dhaka
72%
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Salary
Negotiable
Deadline
1 May 2026
Key Responsibilities
* Architect and optimize LLM-based AI components to drive efficiency and innovation across internal teams and user-facing applications.
* Develop and integrate comprehensive systems, encompassing data retrieval, RAG, vector search, chat interfaces, and agentic workflows.
* Pioneer the evaluation and implementation of cutting-edge LLM architectures, frameworks, and AI/ML toolchains to stay ahead of the curve.
* Drive the enhancement of data infrastructure to support large-scale LLM adoption, including high-volume embeddings and scalable storage solutions.
* Foster collaboration with cross-functional teams to identify and deliver AI-powered solutions that meet business needs and drive growth.
* Shape the company's technical vision for generative AI foundations, informing strategic decisions and guiding innovation.
* Lead quantitative evaluations, benchmarking, and performance optimization of NLP/LLM models to ensure peak performance.
* Integrate NLP and AI components into production systems, prioritizing reliability, low latency, and seamless user experiences.
* Design, develop, and maintain robust text data generation, preprocessing, and training/evaluation pipelines that fuel AI innovation.
* Champion software engineering best practices, including TDD, CI/CD, and version control, to ensure high-quality solutions.
* Stay at the forefront of LLM advancements, including RAG, MCP, Tool Use, ReAct, and agent systems, to drive continuous innovation.
* Spearhead the development of end-to-end NLP/LLM applications, guiding them from research to deployment and ongoing monitoring.
Requirements
Experience
At least 5 years
Skills
TokenizationEmbeddingsTransformersSequence modelingLanguage modelingLLM fine-tuningPrompt engineeringEvaluation of downstream modelsTraditional NLPLangChainAutoGenCrewAILlamaIndexLLM inference optimizationsEmbedding modelsVectorDBsRanking algorithmsTime-series modelsTool callingMulti-agent orchestrationRetrieval-Augmented Generation (RAG)Model Context Protocol (MCP)Reasoning and planning frameworks
Education
- UGC-approved university
Additional Requirements
- Portfolio of past and ongoing AI initiatives
- Hands On experience in LLM and NLP development
- Deep understanding of AI concepts
- End-to-end pipeline experience
- Skilled in various tools and technologies
Compensation & Benefits
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