Junior FullStack Native AI Engineer

About the Company

We are a fast-growing technology company building intelligent digital products and platforms. We are accelerating our AI journey by deeply integrating AI capabilities into our core systems and delivering AI-powered solutions for enterprise clients.

Join us to grow fast: you will work alongside experienced engineers, ship real AI features to production, and learn how modern AI-native systems are designed, built, and operated.

Job Responsibilities

• Develop and maintain features in full-stack applications with integrated AI capabilities (Frontend + Backend + AI), under the guidance of senior engineers.
• Build and support AI pipelines connecting user interfaces with Large Language Models and intelligent agents.
• Implement components of agentic systems: prompt templates, tool/function calling, and basic orchestration workflows.
• Support AI integration tasks: streaming responses, basic context management, logging, and error/fallback handling.
• Build responsive, real-time AI user experiences using streaming (SSE/WebSocket).
• Write clean, tested, well-documented code and participate in code reviews.
• Collaborate with Product and DevOps teams to deliver and troubleshoot AI-powered features.
• Learn continuously and keep up with new tools, models, and best practices in the AI ecosystem.

Must-have:

• Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience).
• 0 - 1.5 years of experience in web development (internships and personal/academic projects count).
• Solid understanding of Data Structures and Algorithms; able to analyze complexity and choose appropriate solutions for real problems.
• Solid fundamentals in JavaScript/TypeScript and React ([protected info] is a plus); basic backend experience with [protected info] or Python.
• Hands-on experience calling LLM APIs (OpenAI, Anthropic, Gemini, open-source models, etc.) in at least one real project.
• Basic understanding of Prompt Engineering and Tool/Function Calling.
• Familiar with Git, REST APIs, and basic SQL/NoSQL databases.
• Proactive and self-driven: able to independently research, quickly learn, and implement new technologies based on project requirements.
• Strong problem-solving mindset and able to work in a fast-paced team.
• Ability to read English technical documentation.

Nice-to-have:

• Exposure to Vector Databases (pgvector, Chroma, Pinecone, Weaviate, etc.) or RAG pipelines.
• Experience with FastAPI for building simple AI services.
• Familiarity with Docker and any cloud platform (AWS, GCP, Azure).
• Knowledge of agent frameworks (LangChain, LangGraph, LlamaIndex, Vercel AI SDK, etc.).
• Portfolio or GitHub showcasing AI-integrated projects.

• Competitive salary with performance bonus and annual review.
• Clear growth path from Junior → Middle → Senior AI Engineer, with mentorship from experienced engineers.
• Hands-on exposure to production AI systems and enterprise clients.
• Modern tech stack, flexible working environment, and a learning-focused culture.