Agentic Engineer

Job Description
Build and develop AI products that can automatically plan, make decisions, and take actions, and can be deployed at large scale in real-world environments, including next-generation AI systems such as:
• AI Agents (Autonomous Agents)
• LLM-powered Applications
• Multi-agent Workflow Systems
• AI-driven Backend Services
• Intelligent Automation Platforms

Responsibilities:
• Design and develop backend systems integrated with AI/LLM agents.
• Build agentic workflows, including planning, tool use, memory, and execution.
• Develop AI services as microservices using FastAPI, Flask, Django, Java, or Go.
• Integrate AI models into product systems through REST or gRPC APIs.
• Deploy production-ready AI systems using Docker and Kubernetes.
• Optimize inference performance in terms of latency, throughput, and cost.
• Work with large-scale data and high-traffic systems, especially in finance, banking, and securities.
• Research and apply advanced techniques such as RAG, function calling, multi-agent systems, and reinforcement learning agents.
• Ensure AI systems meet requirements for security, safety, and scalability. Job requirements
• Bachelor’s degree in Information Technology, Computer Science, Software Engineering, Information Systems, Automation, Telecommunications/Electronics, or related fields.
• Hands-on experience working as a Backend Engineer in a company or on large-scale projects.
• Proficient in at least one backend programming language; Python, Go, and C/C++ are preferred.
• Experience designing systems based on Microservices Architecture.
• Strong knowledge of at least one database management system, such as PostgreSQL, MongoDB, etc.
• Solid understanding of API design (RESTful/gRPC), security, and system performance optimization.
• Experience with:LLM Agents (GPT, Gemini, Claude, etc.)
• LangChain / LangGraph / ADK / AutoGen
• RAG pipelines
• Vector Databases (Milvus, pgvector, etc.)
• Tool-use Agents (Function Calling)
• Memory, planning, and multi-step reasoning systems
• Proficient in Git/GitFlow.
• Experience with Docker, Kubernetes, etc. Preferred

Qualifications:
• Experience in finance, banking, or securities domains.
• Understanding of AI Safety, Guardrails, and Model Monitoring.
• Experience optimizing AI systems for cost efficiency in production.
• For Junior/Fresher candidates: preference will be given to those with Excellent/Distinction academic performance, high GPA, prizes in academic or professional competitions, provincial/city-level gifted student awards or above, or published research in international conferences/journals. (Candidates should clearly include GPA and awards in their CVs.)
• Knowledge of data processing techniques in NLP, Computer Vision, Speech, and Video Understanding.
• Understanding of model architectures such as CNN, RNN, Transformer, Attention, GNN, etc. Application Instructions: Apply directly on the MB Bank recruitment page on https://careers.mbbank.com.vn/home-page. MB Bank requires applicants to provide the following details:
- Personal information: Full name, Date of birth, Gender
- Contact phone number and Email
- Education level, Graduating school
- Work experience
- 3 to 5 standout skills Why should you apply directly via https://careers.mbbank.com.vn/home-page?
- Your application will be assessed quickly.
- Applicants should regularly check their email and phone to ensure they don't miss the interview schedule.