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# AI Chatbot Engineer

- **Company:** Athes Inc
- **Location:** United States (Remote available)
- **Salary:** $97,123.0 - $116,966.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Linux, Python (Programming Language), Performance Tuning, Raspberry Pi, Cloud Services, Smart Devices, Software Deployment, Speech Recognition, WebSocket, Core Voice Platform, Chatbots, Large Language Models, Prompt Engineering, Generative AI, Git, Fastapi, Linux Development, Low Latency, Speech Synthesis, Restful APIs, GPT, Docker
- **Published:** July 30, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8cedfa08f437ed26

## About the Role

* 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

## Description

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


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