Support development of LLM-powered agents (chatbot/voicebot) for task execution, retrieval, and simple memory.
Implement and maintain RAG pipelines: chunking, embeddings, retrieval, reranking (with guidance).
Build tool integrations: connect agents to internal APIs, databases, and third-party services.
Assist with prompting / structured outputs and basic tool-calling workflows.
Help productionize features: logging, evaluation datasets, basic telemetry/monitoring, bug fixes.
Write clean, testable code and contribute to code reviews and documentation.
Participate in experiments to improve response quality, latency, and reliability.

Must-Have Skills

0–2 years of experience (or strong projects) building AI/LLM applications.
Solid Python fundamentals (APIs, packaging, basic testing).
Familiar with using LLM APIs (OpenAI/Anthropic/HuggingFace or similar) for chat and structured outputs.
Basic understanding of RAG and embeddings; exposure to a vector DB is a plus (FAISS/ Qdrant/ Pinecone/ Weaviate/etc.).
Comfortable working with REST APIs, JSON, Git, and backend basics.
Good debugging mindset and willingness to learn production practices.

Nice to Have

Exposure to agent frameworks (LangChain, LangGraph, CrewAI, AutoGen) or small agent projects.
Experience with speech pipeline basics (STT/ASR, TTS) for voicebots.
Familiarity with Docker and simple cloud deployment workflows.
Built a demo UI with Streamlit/Gradio or basic web integration.

What You'll Learn / Growth Opportunities

Agent patterns: tool contracts, memory/context handling, routing, multi-step workflows.
Building reliable RAG systems and evaluation loops.

Competitive salary, negotiable based on experience and skill level.
Performance-based bonuses and potential stock options.
Flexible work (remote/hybrid options) within a young, tech-driven culture.
Rapid career growth: Leadership opportunities and international exposure (e.g., Japan, USA).
Premium insurance (health, social, unemployment) in accordance with FPT standards.
Engaging company culture with team-building activities, sports, and retreats.
Equipment provided based on work requirements up to USD 2,500.

Junior AI Engineer (Agentic Voicebot & Chatbot)

Job Description