AI/LLM Engineer (ChatGPT & Voice AI Agent Development)

Company: Simpsocial

Location: Remote (Remote)

Salary: $1,500 - $2,000 a month

Type: Full-time

Remote: Yes

Posted: 2026-07-04

About this role

AI/LLM Engineer (ChatGPT & Voice AI Agent Development)

Location: Remote
Job Type: Full-Time
Experience: 3+ years

About the Role

We're looking for an experienced AI/LLM Engineer to design, build, and deploy production-ready AI agents powered by Large Language Models (LLMs). The ideal candidate has hands-on experience building intelligent conversational agents using ChatGPT/OpenAI APIs, implementing Retrieval-Augmented Generation (RAG), integrating external tools, and developing real-time voice AI applications.

This role requires someone who has shipped AI products—not just experimented with prompts.

Responsibilities

  • Design and develop AI agents using OpenAI GPT models and other leading LLMs
  • Build conversational AI systems capable of reasoning, tool use, memory, and workflow automation
  • Develop voice AI agents with real-time speech-to-text and text-to-speech capabilities
  • Integrate AI agents with APIs, CRMs, databases, and third-party services
  • Implement Retrieval-Augmented Generation (RAG) using vector databases
  • Optimize prompts, agent workflows, latency, and model performance
  • Develop multi-agent systems when appropriate
  • Deploy AI applications to cloud environments
  • Monitor, evaluate, and improve AI performance in production
  • Collaborate with product and engineering teams to deliver scalable AI solutions

Required Qualifications

  • 3+ years of software engineering experience
  • 2+ years building applications with Large Language Models
  • Strong experience with:
  • OpenAI API / ChatGPT
  • GPT-4.x and newer models
  • AI agent frameworks (LangGraph, LangChain, OpenAI Agents SDK, CrewAI, or similar)
  • Python
  • REST APIs
  • JSON
  • Git
  • Experience implementing:
  • Function calling / tool calling
  • RAG architectures
  • Vector databases (Pinecone, Weaviate, Chroma, Qdrant, FAISS, etc.)
  • Prompt engineering
  • Conversation memory
  • Experience deploying AI applications to AWS, Azure, or Google Cloud

Voice AI Experience (Required)

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