Remote AI Engineer — Build Production-Grade AI Agents

remote work

United States

Remote

USD 110,000 - 190,000

Full time

14 days+

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Job summary

My Amazon Guy is seeking an AI engineer to own the development of internal AI tools and agents that automate SOP lookups, task creation, and internal communications. You will design scalable agents, leverage advanced AI models, and build RAG pipelines that pull from SOPs and client data into vector stores.

Responsibilities include integrating with Slack, Asana, and Gmail, creating REST APIs, and collaborating with backend and frontend teams to embed agents into internal platforms.

Qualifications

  • 2+ years AI engineering or backend LLM development work.
  • Strong Python skills with FastAPI or Flask.
  • Hands-on with LangChain or OpenAI Function Calling / Assistants API.
  • Proven ability to deploy production-grade AI agents or workflows.
  • Familiarity with vector databases like Chroma, Pinecone, or Weaviate.
  • Experience with APIs and webhooks (Slack, Asana, Gmail) and RAG pipelines.

Responsibilities

  • Design and build scalable, production-ready AI agents for internal workflows.
  • Leverage GPT-4 and Assistants API to execute tasks and interact with users in real time.
  • Develop RAG pipelines pulling knowledge from internal SOPs and client data into vector stores.
  • Automate business actions via Slack, Asana, and Gmail integrations.
  • Create REST APIs for internal platforms to access AI capabilities.
  • Collaborate with backend and frontend teams to embed agents into internal tools.

Skills

AI engineering
Backend LLM
Python
FastAPI
LangChain
OpenAI Function
Assistants API
Production AI
Vector databases
Chroma
Pinecone
Weaviate
APIs
Webhooks
Slack
Asana
Gmail
RAG Pipelines

Tools

FastAPI
Flask

Job description

My Amazon Guy is seeking an AI engineer to own the development of internal AI tools and agents that automate SOP lookups, task creation, and internal communications. You will design scalable agents, leverage advanced AI models, and build RAG pipelines that pull from SOPs and client data into vector stores.

Responsibilities include integrating with Slack, Asana, and Gmail, creating REST APIs, and collaborating with backend and frontend teams to embed agents into internal platforms.

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