Software Engineer (Python/Java)

**Key Responsibilities**

**Backend Platform & Service Development**

• Design, develop, and operate scalable backend services, APIs, and platform components.
• Build and maintain RESTful APIs, GraphQL services, microservices, and event-driven architectures.
• Design data models, caching strategies, persistence layers, and transaction flows to support high-volume production systems.
• Develop asynchronous processing, queuing, retry mechanisms, workflow orchestration, and event-processing pipelines.
• Implement business logic related to task lifecycle management, routing, assignment, prioritization, status tracking, and escalation workflows.
• Integrate internal and external systems through APIs, webhooks, messaging platforms, and third-party services.

**AI Platform & Intelligent Systems**

• Build and operate production AI platforms and services using modern LLM ecosystems.
• Develop and maintain Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embeddings, vector search, retrieval, reranking, context management, and evaluation.
• Design and implement agentic AI capabilities, including multi-agent orchestration, MCP/A2A integrations, tool calling, and task coordination.
• Integrate AI/ML outputs and LLM services into backend systems and operational workflows.
• Collaborate with AI/ML teams to deploy, monitor, and optimize AI-powered applications in production environments.

**Architecture, Reliability & Operations**

• Design distributed systems with strong scalability, reliability, maintainability, and security.
• Build observability capabilities including logging, monitoring, tracing, audit trails, and alerting mechanisms.
• Optimize performance, throughput, latency, and resource utilization across backend platforms and AI workloads.
• Participate in incident management, root cause analysis, troubleshooting, and continuous reliability improvements.
• Apply software security best practices including authentication, authorization, access control, data protection, OWASP recommendations, and audit logging.

**Engineering Excellence & Collaboration**

• Contribute to system architecture, technical design reviews, code reviews, engineering standards, and technical documentation.
• Build and maintain automated testing frameworks, CI/CD pipelines, and cloud-native deployment processes.
• Collaborate closely with Product, AI/ML, Data, Frontend, and Infrastructure teams to define requirements and deliver solutions.
• Mentor junior and mid-level engineers in software design, development, debugging, and production operations.
• Evaluate and adopt emerging technologies, particularly in backend platforms, distributed systems, and AI engineering.

**Requirements**

**Education & Experience**

• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or related disciplines.
• 5+ years of experience in backend, platform, or full-stack software development for production environments.
• Proven experience building and operating scalable distributed systems and backend services.

**Programming & Backend Engineering**

• Strong proficiency in Python and at least one additional backend language such as Go, Java, TypeScript, or Node.js.
• Hands-on experience with modern backend frameworks such as FastAPI, Flask, Spring Boot, ExpressJS, NestJS, Gin, or equivalent.
• Strong understanding of REST APIs, GraphQL, microservices, event-driven architectures, SOLID principles, and software design patterns.
• Experience building high-performance systems involving asynchronous processing, concurrency, and large-scale integrations.

**Data & Messaging**

• Solid experience working with relational databases such as PostgreSQL or MySQL.
• Experience with NoSQL databases and caching technologies such as Redis, MongoDB, or equivalent.
• Hands-on experience with messaging and streaming platforms such as Kafka, RabbitMQ, or similar systems.
• Familiarity with vector databases including Pinecone, Qdrant, Weaviate, Milvus, or equivalent solutions.

**AI Platform & LLM Engineering**

• Experience designing and deploying RAG, LLM, Agentic AI, or AI-powered applications in production environments.
• Understanding of embeddings, semantic search, vector retrieval, prompt engineering, context management, and evaluation frameworks.
• Experience integrating foundation models through providers such as OpenAI, Anthropic, Azure OpenAI, Google Gemini, or equivalent.
• Familiarity with AI engineering frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar ecosystems is highly desirable.

**Cloud, DevOps & Security**

• Experience with Docker, Kubernetes, CI/CD pipelines, Infrastructure as Code, and cloud-native architectures.
• Working knowledge of AWS, GCP, Azure, or hybrid cloud environments.
• Strong understanding of monitoring, observability, security best practices, rate limiting, identity management, and production operations.

**Soft Skills**

• Strong analytical thinking and problem-solving abilities.
• Excellent communication and cross-functional collaboration skills.
• Ability to independently drive technical initiatives from design through production.
• Experience mentoring engineers and contributing to engineering culture.

**Preferred Qualifications**

• Experience developing workflow engines, automation platforms, orchestration services, or intelligent operations systems.
• Experience in real-time systems, high-throughput event processing, IoT, GIS, Smart City, or large-scale enterprise platforms.
• Experience with WebSocket, push notification systems, and real-time communication technologies.
• Familiarity with frontend technologies such as React or Vue.js is a plus.
• Previous experience leading technical projects or owning platform-level architecture decisions.

**Contact:**

Ms. Nguyệt Zalo/Call: 0769 288 088E

mail: [email protected]

Office:Hanoi: Technopark, Gia Lam

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• ### Seniority level

Entry level

• ### Employment type

Full-time

• ### Industries

IT Services and IT Consulting