Junior AI Engineer (Agentic Voicebot & Chatbot)

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.