mid machine learning AI Engineer ic 5+ yrs Bachelor's · Posted Mar 16, 2026

About this role

Adobe is hiring a mid-level AI Engineer in the machine learning function based in Bucharest, Romania. The posting calls out experience with Python, FastAPI, Express, AWS and roughly 5+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.

Role
AI Engineer
Function
machine learning
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Bucharest, Romania
Experience
5+ years
Education
Bachelor's degree
Department
Design
Posted
Mar 16, 2026
AI Summary
Design and develop Adobe's Agent Orchestrator Platform for agentic AI systems, building orchestration capabilities and agent coordination systems. Requires 5+ years experience, expert Python proficiency including async programming, LLM frameworks expertise, and agent-based systems experience.

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Job description

from Adobe careers

The Opportunity

Picture a day where every digital interaction you have, from the media you consume to the online shopping you do, is influenced by Adobe's innovative solutions. We are pleased to offer an outstanding opportunity for a Senior Software Development Engineer to join our Adobe Agent Orchestrator Platform team in Bucharest.

The Agent Orchestrator Platform sits at the heart of our agentic AI systems, enabling intelligent automation, workflow coordination, and autonomous decision-making at scale.

You’ll contribute directly to scaling our AI strategy by engineering reusable components, optimizing agent workflows, and ensuring real-world performance in production environments.

What You’ll Do

  • Design and develop the next generation of Adobe's Agent Orchestrator Platform, building sophisticated orchestration capabilities in a large-scale, multi-cloud microservices environment.

  • Architect and implement agent coordination systems and intelligent routing mechanisms using Python and modern frameworks.

  • Take initiative and ownership of platform development efforts, optimizing for reliability, scalability, and performance of agent-based systems.

  • Innovate continuously by seeking novel methods to address complex challenges in agent orchestration, task scheduling, and distributed coordination.

  • Mentor team members on Python best practices, agent design patterns, and platform architecture, encouraging a collaborative environment with honest and direct mentorship.

  • Collaborate across teams and domains.

  • Drive projects with clarity and precision, maintaining strong ownership and direction.

    This is an excerpt. Read the full job description on Adobe careers →
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