Relisource is seeking a highly skilled and experienced Senior Agentic AI Engineer to join our innovative technology team in Dhaka. As a leading software and technology solutions provider, we are expanding our capabilities in advanced artificial intelligence, generative AI, and autonomous agent systems.

In this senior-level role, you will lead the design, development, and deployment of cutting-edge agentic AI workflows, LLM orchestration, and advanced RAG architectures. You will collaborate with cross-functional engineering teams to build secure, scalable, and optimized AI solutions that drive business value and technological advancement.

To apply for this position, please visit the official company career portal using the direct application link provided and submit your updated resume along with any required project portfolios before the deadline of October 31, 2026. Working hours are standard corporate full-time hours, and open positions are 2.

• Education qualification: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.

• Experience: Minimum 5 years (60 months) of professional software engineering and AI development experience.

• Technical Skills: Proficiency in Python, C#, Generative AI, LLM Orchestration, Model Routing, MCP, Tool Calling, Workflow Orchestration, RAG, Context Management, Memory Management, AI Security, AI Governance, Observability, and Cost Optimization.

• Soft Skills: Strong leadership, problem-solving, analytical thinking, and effective communication skills.

• Preferred Qualifications: Proven track record of deploying production-grade agentic AI systems and autonomous workflows.

• Architect, design, and implement complex agentic AI systems and autonomous workflows utilizing Python and C#.

• Develop and maintain robust LLM orchestration frameworks, model routing mechanisms, and tool-calling integrations.

• Build and optimize advanced RAG (Retrieval-Augmented Generation) pipelines with efficient context and memory management.

• Ensure enterprise-grade AI security, governance, observability, and cost optimization across all deployed models and systems.

• Collaborate with software engineers, data scientists, and product managers to integrate AI capabilities into existing enterprise products.

• Monitor system performance, troubleshoot inference issues, and continuously refine agent behaviors for maximum accuracy and efficiency.

Relisource is seeking a highly skilled and experienced Senior Agentic AI Engineer to join our innovative technology team in Dhaka. As a leading software and technology solutions provider, we are expanding our capabilities in advanced artificial intelligence, generative AI, and autonomous agent systems.

In this senior-level role, you will lead the design, development, and deployment of cutting-edge agentic AI workflows, LLM orchestration, and advanced RAG architectures. You will collaborate with cross-functional engineering teams to build secure, scalable, and optimized AI solutions that drive business value and technological advancement.

To apply for this position, please visit the official company career portal using the direct application link provided and submit your updated resume along with any required project portfolios before the deadline of October 31, 2026. Working hours are standard corporate full-time hours, and open positions are 2.

• Education qualification: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.

• Experience: Minimum 5 years (60 months) of professional software engineering and AI development experience.

• Technical Skills: Proficiency in Python, C#, Generative AI, LLM Orchestration, Model Routing, MCP, Tool Calling, Workflow Orchestration, RAG, Context Management, Memory Management, AI Security, AI Governance, Observability, and Cost Optimization.

• Soft Skills: Strong leadership, problem-solving, analytical thinking, and effective communication skills.

• Preferred Qualifications: Proven track record of deploying production-grade agentic AI systems and autonomous workflows.

• Architect, design, and implement complex agentic AI systems and autonomous workflows utilizing Python and C#.

• Develop and maintain robust LLM orchestration frameworks, model routing mechanisms, and tool-calling integrations.

• Build and optimize advanced RAG (Retrieval-Augmented Generation) pipelines with efficient context and memory management.

• Ensure enterprise-grade AI security, governance, observability, and cost optimization across all deployed models and systems.

• Collaborate with software engineers, data scientists, and product managers to integrate AI capabilities into existing enterprise products.

• Monitor system performance, troubleshoot inference issues, and continuously refine agent behaviors for maximum accuracy and efficiency.