AI Chatbot Engineer

We are looking for an experienced AI Engineer passionate about LLMs, voice AI, and real-time AI systems.

About the Role

As an AI Voice Agent Engineer, you will architect and build a conversational AI tutor that interacts naturally with students using speech.

You will integrate state-of-the-art Large Language Models with Speech-to-Text (STT), Text-to-Speech (TTS), memory, prompt engineering, and tool calling to create a highly engaging educational experience.

The system will operate on embedded edge hardware while maintaining low latency and high conversational quality.

Responsibilities

• Design and develop production-ready AI voice agents
• Build low-latency conversational pipelines
• Integrate Speech-to-Text engines
• Integrate Text-to-Speech engines
• Build prompt engineering workflows
• Implement conversation memory
• Design agent workflows using modern LLM frameworks
• Optimize latency for real-time conversations
• Deploy AI models on edge devices
• Build APIs for communication between hardware and cloud services
• Improve tutoring quality through prompt optimization and evaluation
• Collaborate with robotics and embedded engineers, You’ll help create an AI tutor capable of:
• Holding natural voice conversations
• Teaching math, science, and reading
• Remembering previous lessons
• Adapting to each student’s learning style
• Answering questions in real time
• Running on our tutoring robot with minimal latency

Tech Stack

• Python
• OpenAI
• GPT-4.1 / GPT-5
• Whisper
• Deepgram
• ElevenLabs
• Cartesia
• LangGraph
• LangChain
• LiveKit
• Pipecat
• FastAPI
• Docker
• Linux
• Raspberry Pi
• NVIDIA Jetson
• Git
• WebSockets

• Strong Python programming skills
• Experience building AI agents using modern LLM APIs
• Experience with OpenAI, Anthropic, or Gemini APIs
• Experience with prompt engineering
• Experience with Retrieval-Augmented Generation (RAG)
• Experience integrating Speech-to-Text systems
• Experience integrating Text-to-Speech systems
• Experience building real-time voice applications
• Experience with REST APIs and WebSockets
• Experience with Linux development
• Familiarity with Docker
• Experience deploying applications on Raspberry Pi, NVIDIA Jetson, or similar edge devices
• Understanding of latency optimization for AI inference

Preferred Qualifications

Experience with one or more of the following:

• LiveKit
• Pipecat
• LangGraph
• LangChain
• LlamaIndex
• Vapi
• ElevenLabs
• Deepgram
• Whisper
• Cartesia
• OpenAI Realtime API
• Google Live API
• MCP (Model Context Protocol)
• Robotics
• Embedded AI

Nice to Have

• Built production AI assistants
• Built customer support voice agents
• Built educational AI applications
• Experience fine-tuning LLMs
• Experience with on-device inference
• Experience with TinyML or edge AI optimization

$97,123.31 - $116,965.71 a year - Part-time

APEX Cybernetics is building the next generation of AI-powered tutoring robots for children. Our mission is to create an intelligent AI tutor capable of natural spoken conversations, personalized teaching, and running efficiently on edge devices.