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AI Video Agent Engineer

Remote, Europe, Europe, European Union·Full-time·Added 4 months ago

This job was published 4 months ago

Toogeza

14 open roles

Overview

Job details

  • Full-time hours

    Per the ad.

  • Fully remote

    Per the ad.

Requirements

  • Have the right to work in Spain

    Toogeza doesn't mention sponsorship, but this role may fit the Digital nomad visa.

  • Work in English

    English is required, per the ad.

Requirements

What we're looking for

Strong experience building multi-agent systems, including:

  • intent and sub-intent modeling

  • agent orchestration

  • agent communication and transport layers

  • summarization pipelines

  • context passing between agents

Hands-on experience with:

  • n8n

  • Agent tool-calling

  • n8n MCP

Experience designing complex automation pipelines is essential.

Strong practical coding skills with vibe coding mindset:

Primary languages:

  • Python

  • JavaScript

Ability to quickly navigate API documentation and integrate tools for:

  • image generation

  • video generation

  • speech synthesis

  • audio generation

  • multimodal analysis

You should know where and how to obtain the best generation quality for each modality.

Creative Thinking

  • Strong sense of visual rhythm and composition

  • Creative intuition and storytelling awareness

  • Good taste in video structure and montage

  • Ability to evaluate AI-generated output not only by metrics, but also by creative quality and narrative coherence

Nice to have

Bonus experience:

  • ComfyUI custom nodes

  • lightweight APIs (e.g., HuggingFace Spaces or inference endpoints)

Preferred experience with:

  • FFmpeg

  • video processing pipelines

  • image processing workflows

The following qualifications are not mandatory, but will significantly strengthen a candidate's profile during the evaluation process:

Deep understanding of frameworks such as LangGraph and LangChain for building complex cyclic state graphs and stateful agent systems.

Experience designing long-term memory systems for agents, including mechanisms for storing and retrieving successful execution patterns or scenarios to improve future performance through experience-based retrieval.

Experience building agents with feedback loops such as self-reflection, self-critique, or strategy correction, enabling them to verify their own actions and adapt execution logic dynamically.

Experience with tools for monitoring, debugging, and evaluating agent chains and prompt behavior, such as LangSmith, Arize Phoenix, or Promptfoo, with the ability to identify logical failures, quality regressions, and orchestration bottlenecks.

The role

We are building an AI-driven video production system designed as an intelligent multi-agent orchestration layer capable of transforming raw ideas and references into fully structured video content.

The system operates as a black-box creative engine for different types of users:

  • professional video creators

  • casual users

  • creators of short narrative concepts

Users provide an idea, references, or media fragments, and the system automatically orchestrates multiple AI agents responsible for analysis, scripting, editing, and production of video content.

We are looking for an engineer who can design and implement multi-agent pipelines, orchestrate AI tools, and build intelligent workflows that combine video analysis, storytelling logic, and automated editing.

This role sits at the intersection of AI systems architecture, creative tooling, and multimodal content generation.

What you'll do

Design and implement the architecture of a multi-agent video editing system including agents responsible for:

  • video analysis

  • narrative generation

  • editing orchestration

  • production and output synthesis

Define system prompts, behavioral rules, and structured instructions for agents interacting within the pipeline.

Develop and maintain complex orchestration pipelines in n8n, including:

  • multi-agent workflows

  • tool-calling logic

  • dynamic routing between tools and models

  • context passing between agents

Pipelines must be capable of selecting the most appropriate models, tools, and strategies depending on the task.

Design robust pipelines for handling:

  • video materials

  • image assets

  • user text prompts

  • structured metadata

Ensure proper data transformation and context transfer across the pipeline stages.

Integrate both external and internal APIs for multimodal generation and processing, including:

  • image generation

  • video generation

  • speech synthesis

  • audio generation

  • video processing services

Rapidly evaluate available APIs and select the best quality tools and models for each task.

Tune and optimize model interactions, primarily based on Gemini models, including:

  • prompt engineering

  • structured outputs

  • tool-calling workflows

  • agent collaboration logic

Optimize pipelines for quality, reliability, and execution efficiency.

Design systems that support:

  • vector databases

  • retrieval-augmented generation (RAG)

  • memory and contextual reasoning between agents

The pipeline system should be capable of:

  1. Taking an idea + references as input

  2. Analyzing the content

  3. Generating a coherent narrative structure

  4. Selecting appropriate visual and audio elements

  5. Producing a high-quality, structured video output

How you'll work

Location: Remote
Job Type: Full-Time

Hiring process

The ideal candidate is someone who naturally operates between engineering and creative production, capable of building systems that automate complex media workflows while preserving narrative coherence and aesthetic quality.

You enjoy designing systems where AI agents collaborate to produce meaningful creative outputs.


What's next?

If this role sounds like a fit - we'd love to hear from you! Just send over your CV and anything else you'd like us to consider.

We'll review everything within five working days, and if your background matches what we're looking for, we'll get in touch to set up a call and get to know each other better.

About Toogeza

Toogeza is a technology company based in Dubai, UAE, operating in the digital marketing, fintech, and software development sectors. The company focuses on building and scaling digital products, with a strong emphasis on user acquisition, data science, and AI-driven solutions. It is currently expanding its operations and has a significant number of open roles in Spain, indicating a strategic push into the European market.

Headquarters
Dubai, UAE

Good to know if you are moving

  • Toogeza is actively hiring for 28 roles in Spain, indicating a strong commitment to building a European presence.
  • The company is based in Dubai, UAE, and is expanding internationally, offering opportunities for professionals looking to work in a global environment.
  • Open roles span a wide range of functions, including engineering, marketing, finance, and product management, providing diverse career opportunities.
  • The company is focused on digital marketing, fintech, and software development, making it a relevant employer for professionals in these fields.
  • Toogeza uses Ashby for its careers page, suggesting a modern and structured hiring process.

In their own words

About the company & team

We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.

Currently, we are looking for AI Video Agent Engineer for Elva.

All open roles at Toogeza
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