
AI Video Agent Engineer
Posted Oct 30

Posted Oct 30
This is a fully remote position, open to applicants in Europe.
β’ Create and execute a multi-agent video editing system that encompasses video analysis, narrative generation, editing orchestration, and production/output synthesis.
β’ Establish system prompts, behavioral guidelines, and structured instructions for agents.
β’ Develop and sustain intricate n8n orchestration pipelines.
β’ Implement multi-agent workflows, tool-calling logic, dynamic routing between tools and models, as well as context passing among agents.
β’ Allow pipelines to choose suitable models, tools, and strategies based on task specifications.
β’ Design multimodal data pipelines for video, images, text prompts, and structured metadata.
β’ Integrate both external and internal APIs for image generation, video generation, speech synthesis, audio generation, and video processing.
β’ Assess APIs and select appropriate tools and models for each task.
β’ Tune and enhance Gemini-based model interactions, prompts, structured outputs, tool-calling workflows, and agent collaboration logic.
β’ Optimize pipelines for quality, reliability, and execution efficiency.
β’ Develop future-ready systems that support vector databases, retrieval-augmented generation, agent memory, and contextual reasoning.
β’ Construct a pipeline that converts ideas and references into analyzed content, coherent narratives, selected visual/audio elements, and high-quality structured video output.
β’ Significant experience in building multi-agent systems, including intent and sub-intent modeling, agent orchestration, agent communication and transport layers, summarization pipelines, and context passing between agents.
β’ Practical experience with n8n, agent tool-calling, and n8n MCP.
β’ Experience in designing complex automation pipelines.
β’ Strong coding skills with a vibe coding mindset.
β’ Primary programming languages: Python and JavaScript.
β’ Ability to swiftly navigate API documentation and integrate tools for image generation, video generation, speech synthesis, audio generation, and multimodal analysis.
β’ Knowledge of how and where to obtain optimal generation quality for each modality.
β’ Strong sense of visual rhythm and composition.
β’ Creative intuition and storytelling awareness.
β’ Good taste in video structure and montage.
β’ Capability to evaluate AI-generated output based on creative quality and narrative coherence, beyond mere metrics.
β’ Preferred experience with FFmpeg, video processing pipelines, and image processing workflows.
β’ Bonus experience with ComfyUI custom nodes and lightweight APIs such as HuggingFace Spaces or inference endpoints.
β’ Nice to have: in-depth understanding of LangGraph and LangChain.
β’ Nice to have: experience in designing long-term agent memory systems.
β’ Nice to have: experience in building self-reflection, self-critique, or strategy-correction feedback loops.
β’ Nice to have: experience with LangSmith, Arize Phoenix, or Promptfoo for monitoring, debugging, and evaluating agent chains and prompt behavior.
β’ No benefits, perks, or compensation extras are specified.
β’ Full-time employment.
Superside
Invisible Technologies
Invisible Technologies
Invisible Technologies
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