RAG Development

• Design, build, and optimize end-to-end RAG pipelines (ingestion → indexing → retrieval → reranking → generation).
• Integrate and tune vector databases (Pinecone, Weaviate, Milvus, Chroma, etc.).
• Improve chunking strategies, embedding quality, and similarity search performance.
• Build evaluation pipelines for RAG (precision/recall, context relevance, response quality).

Agentic AI / AI Agents

• Develop AI Agents using frameworks like LangGraph, AutoGen, or LlamaIndex Agents.
• Design multi-agent workflows (planner → executor → evaluator).
• Implement tool/function calling, serverless integrations, and dynamic reasoning workflows.

Model Context Protocol (MCP)

• Design and implement MCP servers exposing tools, APIs, and datasets to LLMs.
• Integrate MCP into application stack (frontend ↔ backend ↔ LLM).
• Build custom MCP tools (database connectors, internal API tools, scraping tools, etc.).

System Architecture & MLOps

• Build and maintain inference infrastructure (Docker, Kubernetes, GPU servers).
• Implement logging, monitoring, and observability for RAG/Agent pipelines.
• Optimize model serving cost and performance (quantization, vLLM, batching, TensorRT, etc.).

Must have

• Minimum of 3–5 years of experience in advanced analytics, machine learning/deep learning model development, and/or applying AI/GenAI to practical business problems.
• Strong proficiency in Python (FastAPI / Flask). NodeJS is a plus.
• Practical experience building production-level RAG systems.
• Deep understanding of LLMs, embeddings, vector databases, and reranking.
• Hands-on experience with RAG/Agent frameworks: LangChain, LlamaIndex, LangGraph, etc.
• Familiarity with Docker, Linux, and basic DevOps.
• Strong debugging and system thinking skills.
• Strong communication and presentation skills, with the ability to clearly explain AI/LLM/RAG concepts to both technical and non-technical audiences.
• Ability to deliver AI solution presentations and product demos, effectively explaining system architecture, workflows, and business value.
• Fluent oral and written English

Nice to have

• Candidates with experience in client training, presales activities, solution presentations, or creating AI educational materials (slides, documentation, demos) are preferred.
• Teaching and mentoring mindset, capable of supporting junior engineers and cross-functional teams (PMs, BAs, Sales, Clients) in understanding and applying AI solutions.

Flexible working regime and health care:

• Flexible timekeeping (from 8:00 - 9:00 to 17:30 - 18:30) 
• Minimum 14 paid leaves per annum for all employees after probation
• 01-day remote work per month
• A flexitime allowance of 90-180 minutes per month for employees
• 01 hour paid leave per day for women having children under 12 months
• Social insurance, health insurance, unemployment insurance and MIC care insurance   

Transparent and fair benefits: 

• Saturday & Sunday OFF,  Overtime pay is 150%, 200%, 300% as per labor law;
• 13th-month salary, Performance Bonus
• Bonus Policy: Public holidays (2/9, 30/4, 1/5, 1/1,...); Personal Performances; Excellent Team; Performance bonus in Token of the project;.. 
• Men’s Day, Women’s Day, Children’s Day, Mid-Autumn Festival and other benefits under the provisions of the company

Dynamic environment and open culture: 

• Year-end party, sports day, yearly company trip and quarterly team building,...with a generous budget
• Socialize with colleagues through monthly Happy Hour 
• Monthly allowance when joining clubs: Soccer, Swimming, Yoga, Music,... 
• Nice & modern working space with young, dynamic & friendly colleagues and free coffee, tea, drinks,...
• Flat, open and sharing culture with friendly management team; outsourcing company with product mindset 

Strong learning culture: 

• Free training courses for technical and soft skills (presentation skills, communication skills, foreign language courses,...)
• Account to log in to our online learning system, which contains thousands of valuable lectures (LMS)
• Participate in workshops, seminars, tech talk,... with sharing from experts inside and outside the company
• Working opportunities with technical gurus who built and operated world-class applications with millions of users. 

Location: CIC Tower, No.2 Nguyen Thi Due, Yen Hoa, Cau Giay, Ha Noi
                Golden Park Tower, No.2 Pham Van Bach, Yen Hoa, Cau Giay, Ha No