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Machine Learning Engineer · India

Senior Generative AI Video Specialist - Remote - Octopus by RTG

robusta·India

remoteAPAC hours

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A senior, hands-on expert who produces professional, brand-ready videos with generative AI. This

person understands the science behind video generation, prepares assets carefully, plans every scene with intent,

and turns AI video from experiments into a reliable production capability.

Key Responsibilities

1. AI Video Generation

  • Produce high-quality corporate videos end to end using AI, with Higgsfield as a core platform alongside other leading

image and video models.

  • Choose the right model, mode and settings for each shot based on a real understanding of how the models behave

and where they fail.

  • Deliver consistent results across characters, environments, lighting, style and brand from one shot to the next.

2. The Science Behind the Generation

  • Apply a deep understanding of how diffusion and video models work, including motion, temporal consistency,

camera control, seeds, reference conditioning and how prompts are interpreted.

  • Engineer prompts and references with intent, not trial and error, and document what works as reusable recipes.
  • Diagnose and fix common issues such as flicker, warping, identity drift, unnatural motion and artefacts.

3. Asset Preparation

  • Prepare production-ready inputs, including reference images, character sheets, product and location references,

style frames, start and end frames, and brand elements.

  • Build and maintain a reusable asset library (characters, styles, environments, prompts) for consistency across

projects.

  • Upscale, clean up, retouch and composite assets so they are ready for generation and final delivery.

4. Scene & Story Preparation

  • Turn briefs into scripts, storyboards, shot lists and scene breakdowns before any generation starts.
  • Plan every scene with intent: framing, camera movement, lens feel, pacing, lighting, mood and transitions.
  • Direct the full flow from concept to generation, editing, sound, voice-over, music, colour and final export.

5. Quality, Governance & Enablement

  • Ensure outputs meet brand, quality, legal, IP and responsible-AI standards, including the use of people's likeness

and approved content.

  • Define a repeatable AI video production workflow with clear review points, turnaround times and quality standards.
  • Coach designers and content teams, and stay ahead of new AI video tools and techniques.

Requirements

  • 8+ years in video production, motion design, VFX, animation or content creation, with 2+ years of hands-on

generative AI video work.

  • Must: Expert-level, hands-on Higgsfield experience, backed by a strong portfolio of AI-generated videos.
  • Strong working knowledge of other AI image and video tools (for example Runway, Kling, Veo, Sora, Midjourney, Flux),

and the judgement to pick the right one for each shot.

  • Deep understanding of how generative video models work and how to control them.
  • Strong grounding in film language: storytelling, cinematography, composition, lighting, editing and pacing.
  • Proficiency in editing and finishing tools such as Premiere Pro, After Effects, DaVinci Resolve and Photoshop.
  • Experience with AI voice, music and lip-sync tools is a strong plus.
  • Experience delivering for corporate or brand audiences, and presenting concepts and outputs to stakeholders.

What We Are Looking For

  • Technical depth: knows why a generation works or fails, not only which prompt to use.
  • Creative direction: thinks like a director: story, shots and pacing come first.
  • Production discipline: prepares assets and scenes before generating and works to repeatable workflows.
  • Quality eye: will not accept artefacts, inconsistency or off-brand output.

Portfolio Requirement

  • Candidates must share a portfolio of AI-generated videos, with a short breakdown of 1–2 projects: tools used, asset

preparation, scene planning, prompting approach and post-production.

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