Artificial Intelligence Engineer

Company Description SOTATEK., JSC, a subsidiary of Sota Holdings, is an AI and Blockchain innovation partner specializing in sustainable software development across Web, App, Game, Blockchain, AI & Machine Learning, and ERP & CRM solutions. Headquartered in Hanoi, Vietnam, the company delivers cost-effective, scalable, and customized technology services to global clients. With over 10 years of growth and a team of more than 1,500 IT consultants and developers, SOTATEK serves diverse industries including Banking & Finance, Insurance, Automotive, Media & Entertainment, Retail & Consumer Goods, Healthcare, and Education. The company has successfully completed more than 500 projects in over 25 countries, supported by international offices in the US, Australia, Singapore, Japan, and Korea. “State of the Art Technology” reflects SOTATEK’s commitment to cutting-edge solutions aligned with evolving client needs.

Role Description

JOB DESCRIPTIO

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. 

Computer Vision & Multimodal AI

• Support the development of multimodal AI applications by integrating Large Language Models (LLMs) with Computer Vision models.
• Contribute to Computer Vision use cases such as Image Segmentation, image understanding, and intelligent document processing where applicable.

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.).

Job Requirement

Must have

• 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.

Nice to have

• Experience with Agentic AI or multi-agent architectures.
• Familiarity with GPU inference and optimization (vLLM, TensorRT, quantization).
• Experience in Computer Vision, particularly Image Segmentation and multimodal AI applications. 
• Knowledge of self-hosting LLMs (Ollama, vLLM, HF TGI, LM Studio, etc.).
• Experience building evaluation frameworks for RAG or Agents.

Compensation & Benefits

🎯 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.