Junior FullStack Native AI Engineer
Summary
Junior full-stack engineer building web applications with AI built in: React/Next.js frontends, Node.js/Python backends, and LLM features such as prompt templates, tool/function calling, and streaming (SSE/WebSocket) responses. Works under senior engineers on agentic systems and AI pipelines for enterprise clients.
Top 3 Reasons To Join Us
High Salary and Stock Option
Travel domestically and internationally
Gain high-scale system solutions & experience
The Job
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.
Your Skills and Experience
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 (Next.js is a plus); basic backend experience with Node.js 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.
Why You'll Love Working Here
- 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.
