AI Video Agent Engineer

About 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 .

Responsibilities

• AI Agent Architecture
• 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.
• Pipeline Orchestration (n8n)
• 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.
• Multimodal Data Processing
• 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.
• Tool & API Integration
• 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.
• Model Orchestration & Optimization
• 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 .
• Future Architecture (RAG & Knowledge Systems)
• Design systems that support:
• vector databases
• retrieval-augmented generation (RAG)
• memory and contextual reasoning between agents
• Expected Outcomes:
• The pipeline system should be capable of:
• Taking an idea + references as input
• Analyzing the content
• Generating a coherent narrative structure
• Selecting appropriate visual and audio elements
• Producing a high-quality, structured video output

Requirements

• AI Systems & Agent Architecture
• 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
• Workflow Orchestration
• Hands-on experience with:
• n8n
• Agent tool-calling
• n8n MCP
• Experience designing complex automation pipelines is essential.
• Programming
• Strong practical coding skills with vibe coding mindset :
• Primary languages:
• Python
• JavaScript
• Bonus experience:
• ComfyUI custom nodes
• lightweight APIs (e.g., HuggingFace Spaces or inference endpoints)
• Multimodal Tooling Knowledge
• 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
• Video & Media Processing
• 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:
• Agentic Frameworks
• Deep understanding of frameworks such as LangGraph and LangChain for building complex cyclic state graphs and stateful agent systems.
• Advanced RAG & Memory Management
• 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.
• Self-Corr

Benefits

Additional Information

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

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