Agentic AI Engineer — Build scalable AI workflows

eMAG; United States; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical subscription

Meal tickets

Holiday tickets

Cultural vouchers

Private pension

Language classes

Gym membership

Bookster library access

Learning resources

Hybrid work HQ access

Job summary

eMAG is seeking an Agentic AI Engineer to build AI-powered workflows that accelerate engineering teams and boost developer productivity. You will orchestrate LLMs and AI agents into reliable tooling and deploy production services with CI/CD and cost awareness.

You’ll design reusable platform components, own evaluation and observability, and drive adoption at scale while staying ahead of fast-moving agentic AI trends across providers and models.

Qualifications

• Strong programming fundamentals and production-grade software delivery.
• Experience with Python in agentic AI workflows and tooling.
• Familiarity with LLM tool calling, orchestration and evaluation concepts.
• Hands-on with Docker, Kubernetes, and cloud environments.

Responsibilities

• Design and ship agentic workflows across the dev lifecycle.
• Build reusable platform components for team self-service.
• Own eval & observability for AI flows to ensure trustworthy outputs.
• Deploy flows as production services with CI/CD and cost awareness.
• Drive adoption at scale and measure developer-productivity impact.
• Stay updated with evolving agentic tools and patterns.

Skills

Python

Docker

Kubernetes

Bash / Shell scripting

LangChain / LangGraph

LLM tool calling

Langfuse / LLM eval

TypeScript

JavaScript

Go

PHP

Tools

Claude Code

Cursor

Aider

Copilot

Job description

eMAG is seeking an Agentic AI Engineer to build AI-powered workflows that accelerate engineering teams and boost developer productivity. You will orchestrate LLMs and AI agents into reliable tooling and deploy production services with CI/CD and cost awareness.

You’ll design reusable platform components, own evaluation and observability, and drive adoption at scale while staying ahead of fast-moving agentic AI trends across providers and models.