Software Engineer

**Job overview:**

Build and operate scalable backend and AI platforms, with Python as the primary language. The role owns production Retrieval\-Augmented Generation (RAG) and agentic capabilities across APIs, data, infrastructure and user\-facing workflows, while welcoming strong engineers with relevant experience in Go, Java, Node.js or other modern technology stacks.

**Key Responsibilities:**

• **Build scalable platforms:**

Develop and maintain backend and AI\-platform services, primarily in Python; use Go, Java, Node.js or other suitable technologies when they improve performance or reliability.

• **Own production RAG pipelines:**

Deliver document ingestion and processing, chunking, embeddings, vector/hybrid search, retrieval and reranking, context management, prompt optimization and quality evaluation.

• **Develop agentic AI capabilities:**

Build multi\-agent orchestration, MCP, A2A, tool integration, state/task coordination, and integrations with LLM providers such as OpenAI and Anthropic.

• **Design end\-to\-end services:**

Create REST/GraphQL APIs, microservices and event\-driven workflows; integrate SQL, NoSQL, vector databases and third\-party services.

• **Optimize scale and performance:**

Improve concurrency, asynchronous processing, caching, Kafka\-based messaging, observability and large\-scale data processing.

• **Ship production\-ready systems:**

Apply automated testing, code review, documentation, security practices, CI/CD, Docker/Kubernetes, cloud and infrastructure as code.

• **Collaborate and lead:**

Partner with AI/ML, Product, Design and Frontend teams; mentor engineers and evaluate emerging AI technologies.

**Requirements:**

• **Experience and education:**

Bachelor's degree in Computer Science, Software Engineering or a related field, with 5\+ years of backend or full\-stack software development experience.

• **Python first, broader stack welcome:**

Strong production Python and clean\-code skills; experience with one or more of Go, Java, Node.js or comparable backend languages; sound knowledge of concurrency, threading and event loops.

• **Backend architecture:**

Hands\-on experience with FastAPI, Flask or equivalent frameworks; REST/GraphQL, microservices, event\-driven architecture, system design, SOLID principles and design patterns.

• **RAG, LLMs and agentic systems:**

Hands\-on delivery of RAG/LLM systems covering document processing, embeddings, semantic/vector/hybrid search, retrieval, context and prompt engineering, LLM\-provider integration, multi\-agent orchestration and MCP/A2A; experience with LangChain, LlamaIndex, AutoGen or CrewAI is valued, and 2\+ years in AI platforms, RAG or agents is preferred.

• **Data and messaging:**

PostgreSQL/MySQL, Redis/MongoDB, vector stores such as Qdrant, Pinecone, Weaviate or Milvus, plus Kafka and asynchronous processing.

• **Delivery and cloud:**

Git, Docker, Kubernetes and CI/CD; AWS/GCP/Azure and Terraform/CloudFormation experience are preferred.

• **Quality and collaboration:**

Unit/integration/edge\-case testing, OWASP, rate limiting, logging, token management, monitoring/observability, debugging and performance optimization; strong communication and mentoring. React or Vue.js experience is a plus.

**Contact:**

Ms. Nguyệt Zalo/Call: 0769 288 088

Email: [email protected]

**Office:**

Hanoi: Technopark, Gia Lam