AI Engineer — Production-Grade LLM & Agent Systems

Justjoin

United States

Remote

USD 120,000 - 160,000

Full time

2 days ago
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Job summary

Justjoin is seeking an AI Engineer to join a team building production-grade AI solutions for complex business processes. You will work at the intersection of software engineering, LLMs and agentic systems, designing AI agents that use tools, coordinate multi-step tasks, and integrate with enterprise systems in a production environment.

The role emphasizes strong Python development, modern AI architectures, and building scalable, reliable AI-powered applications within enterprise contexts.

Qualifications

  • Hands-on software engineering delivering LLM/agent-based apps.
  • Advanced Python and production-grade AI architectures.
  • Experience with MCP and agent tooling.
  • REST API integrations with enterprise systems.

Responsibilities

  • Design and develop AI agents for multi-step business workflows.
  • Build architectures combining LLM reasoning with Python services.
  • Create APIs and integrations with enterprise applications.
  • Develop tools accessible by agents using MCP.
  • Implement workflow orchestration with state management and human approvals.
  • Improve reliability, latency, and cost of AI applications.
  • Collaborate with engineers, architects and stakeholders to translate requirements into scalable AI solutions.
  • Contribute to production architectures, testing strategies and operations for AI apps.

Skills

Python
LLM applications
Agent-based systems
Asyncio
FastAPI
Pydantic
REST APIs
OAuth2
Docker
Redis
Multi-agent architectures
LangChain / LangGraph
OpenAI / Claude SDK

Tools

REST APIs
Docker
Redis
Azure AD / OAuth2
OpenTelemetry

Job description

Justjoin is seeking an AI Engineer to join a team building production-grade AI solutions for complex business processes. You will work at the intersection of software engineering, LLMs and agentic systems, designing AI agents that use tools, coordinate multi-step tasks, and integrate with enterprise systems in a production environment.

The role emphasizes strong Python development, modern AI architectures, and building scalable, reliable AI-powered applications within enterprise contexts.

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