Junior AI Developer

We are looking for a hands-on Junior AI Developer to join our team in building next-generation AI solutions. This role goes beyond simply running models on Google Colab — you will be directly involved in the end-to-end development lifecycle, from frontend interface development, backend logic implementation, and model optimization (RAG/Inference) to deployment packaging (Docker/Linux).

KEY RESPONSIBILITIES:

• AI Implementation: Deploy and optimize open-source LLMs (such as Llama 3, Qwen, Mistral, etc.) using Ollama or vLLM on on-premise infrastructure.
• System Development: Build RAG (Retrieval-Augmented Generation) systems integrated with Vector Databases such as ChromaDB, Milvus, and Qdrant.
• Fullstack Lite: Develop user interfaces (Web UI) using HTML5, CSS3, JavaScript (or React/Streamlit) and integrate them with Python APIs built on FastAPI/Flask.
• Deployment: Package applications into Docker containers, and manage as well as operate systems in Linux/Ubuntu Server environments.
• Open-source Contribution: Research, apply, and customize the latest open-source tools and frameworks from the global AI community.

PROFESSIONAL REQUIREMENTS:

Programming & AI Skills:

• Python: Strong proficiency in core Python, data processing, and API development.
• AI Tools: Hands-on experience with LangChain or LlamaIndex. Solid understanding of Prompt Engineering.
• Vector DB: Good understanding of embeddings and querying unstructured data.

Frontend & User Experience:

• Frontend: Strong knowledge of HTML5, CSS3, and JavaScript (ES6+). Familiarity with Tailwind CSS is an advantage.
• UI/UX: Basic aesthetic sense with the ability to design user-friendly and intuitive chatbot/dashboard interfaces.

Systems & Infrastructure:

• OS: Proficient in using Linux command line tools (Bash scripting), with understanding of process management and permission control on Ubuntu/CentOS.
• Docker: Ability to write Dockerfiles and use Docker Compose to set up AI runtime environments, including application containers, databases, and inference engines.
• Open-source: Habit of reading technical documentation on GitHub and capable of troubleshooting installation issues related to open-source libraries.

ADDITIONAL REQUIREMENTS:

• Experience in building a home lab or deploying AI solutions on personal machines/private servers.
• Having real-world projects on GitHub (please attach the GitHub link in your CV).
• Good English reading comprehension for technical documentation.

BENEFITS:

• Hands-on working environment: Opportunity to work directly with high-performance GPU systems and AI projects for companies within the Sovico ecosystem, including HDBank, VikkiBank, VietJet Air, FinX, and others.
• Unlimited learning opportunities: In-depth training on AI system architecture, from hardware to software.
• Open-source culture: Encouragement to contribute to the community and build your personal brand through open-source projects.
• Competitive salary and bonus package, with a clear career progression path toward Mid-level / Senior AI Engineer.