AI/LLM Engineer (ChatGPT Voice AI Agent Development)

Role overview

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