AI Engineer

Justjoin; United States; Remote; USD 120,000 - 160,000; Full time

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

We are looking for an AI Engineer to join a team building production-grade AI solutions for complex business processes. In this role, you will work at the intersection of software engineering, LLMs and agentic systems. You will design AI agents that can use tools, interact with enterprise systems, coordinate multi-step tasks and work together as part of larger AI workflows. This is a hands-on engineering role, with a strong focus on Python development and production-ready AI architectures.

What we will do

• Design and develop AI agents capable of handling multi-step tasks and business workflows.
• Build reliable agent architectures combining LLM-based reasoning with conventional Python services.
• Develop APIs and integrations connecting AI solutions with enterprise applications.
• Create tools that agents can discover and use, including solutions based on Model Context Protocol (MCP).
• Build workflow orchestration using graph-based approaches, including state management and human approval steps where required.
• Develop mechanisms for communication and cooperation between multiple AI agents.
• Improve the reliability, response time and cost efficiency of AI-powered applications.
• Work closely with software engineers, architects and business stakeholders to turn business requirements into scalable AI solutions.
• Contribute to the design of production architectures, testing strategies and operational practices for AI applications.

What we are looking for

• Strong experience in software engineering with hands-on experience delivering LLM or agent-based applications.
• Advanced Python skills and practical experience with:asyncioFastAPI or a comparable frameworkPydanticpytest / pytest-asyncioSolid understanding of modern LLM application development, particularly:tool/function callingstructured outputsagent orchestrationmulti-agent architecturesworkflow automationlatency and cost optimizationCommercial experience with at least one agent/LLM framework such as LangChain, LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK or a comparable technology.
• Practical knowledge of MCP and experience developing or integrating agent tools.
• Experience with workflow orchestration and stateful AI processes.
• Experience integrating applications through REST APIs.
• Good understanding of modern authentication and authorization such as OAuth2, SSO or Microsoft Entra ID/Azure AD.
• Experience with Redis or a comparable distributed data/cache solution.
• Familiarity with Docker and containerized applications.
• Nice to haveExperience with Langfuse, OpenTelemetry, Datadog or other observability platforms.
• Exposure to cloud-based storage, search and AI services.
• Experience evaluating LLM applications and measuring AI output quality.
• Knowledge of specification-driven development.
• Experience working on solutions for highly regulated or enterprise environments.
• Previous experience delivering AI products within large organizations.

Technology stack

• Python
• LLMs
• Agentic AI
• MCP
• LangGraph
• LangChain
• FastAPI
• Pydantic
• asyncio
• pytest
• Redis
• REST APIs
• OAuth2
• Microsoft Entra ID
• Docker
• OpenTelemetry

The project

The systems combine LLM-based agents with traditional software components, APIs and enterprise applications. The focus is on building robust, maintainable solutions that can move beyond simple chatbots and actually plan, execute and coordinate real-world tasks.

If you enjoy solving engineering problems around LLMs, AI agents, orchestration and scalable Python systems, this role will give you the opportunity to work on that technology in a production environment.