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.).
Yêu cầu:
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.
Chế độ:
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: B601 FTU - 91 Chùa Láng, Q. Đống Đa, Hà Nội.
