AI/LLM Engineer (ChatGPT Voice AI Agent Development) $18k - $24k Remote at Simpsocial
Simpsocial

AI/LLM Engineer (ChatGPT Voice AI Agent Development)

Simpsocial • Remote, US
Full-time $18k - $24k Posted 2 months ago

Role overview

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

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

Basic 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

Preferred qualifications

  • Experience with MCP (Model Context Protocol)
  • Experience with autonomous AI agents
  • Knowledge of AI evaluation frameworks
  • Docker and Kubernetes
  • FastAPI
  • PostgreSQL
  • Redis
  • Event-driven architectures
  • Experience building SaaS AI products

Benefits

  • check_circle Pay: $1,500.00 - $2,000.00 per month
  • check_circle Work Location: Remote

Tags & Focus Areas

Fulltime Remote Ai Generative Ai

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