AI Video Agent Engineer

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
.

Location: Remote
Job Type: Full-Time

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.

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:

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
• Java Script

Bonus experience:

• ComfyUI custom nodes
• lightweight APIs (e.g., Hugging Face Spaces or inference endpoints)

Ability to quickly navigate API documentation and integrate tools for:

• image…