About the 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)
Candidates should have experience building voice agents using technologies such as:
OpenAI Realtime API
Twilio Voice
ElevenLabs
Deepgram
AssemblyAI
LiveKit
Vapi
Bland AI
Retell AI
Daily
Whisper or comparable speech recognition systems
Experience building phone agents, customer support agents, appointment booking systems, or sales voice assistants is highly preferred.
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
Nice to Have
Experience integrating Salesforce, HubSpot, or other CRMs
Experience with Slack, Teams, or Discord bots
AI workflow automation
Computer vision or multimodal AI experience
Fine-tuning or model evaluation experience
What Success Looks Like
Within the first 90 days, you'll:
Build production-ready AI agents
Launch at least one voice AI solution
Improve agent accuracy and response quality
Integrate AI with our internal systems
Help establish best practices for AI development
To Apply
Please include:
Resume
GitHub profile
LinkedIn profile
Portfolio of AI projects
Links to production AI agents you've built (if available)
Brief description of your most impressive ChatGPT or LLM project
Experience with voice AI platforms
Your availability
Hourly rate or salary expectations
Preferred Candidates
We're especially interested in engineers who have built and deployed real-world AI agents using OpenAI, LangGraph, or similar technologies, and who have experience with production voice AI systems. If you can demonstrate live AI applications you've built, we'd love to hear from you.
Pay: $1,500.00 - $2,000.00 per month
Work Location: Remote