{"id":3645783,"url":"https://alion.io/job/kaaliber-creative-ai-prompt-video-engineer","title":"Creative AI / Prompt - Video Engineer","company":{"id":4451125,"name":"Kaaliber","domain":"kaaliber.com","url":"https://alion.io/company/kaaliber","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"FFmpeg","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OpenCV","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"C","optional":true},{"name":"ComfyUI","optional":true},{"name":"ControlNet","optional":true},{"name":"Diffusers","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Hugging Face","optional":true},{"name":"LoRA","optional":true},{"name":"PEFT","optional":true},{"name":"Stable Diffusion","optional":true}],"status":"live","first_seen_at":"2026-11-02T22:35:15Z","employer_posted_date":null,"last_verified_at":"2026-11-02T22:35:15Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"We are looking for a creative technologist who understands both generative models and visual storytelling. The right person can move from experimentation to dependable workflows with measurable quality, repeatability, safety and cost control. Permanent role scope: This is a core technology position supporting multiple digital products. The person will own work through delivery, production operation, continuous enhancements and future versions, and may move across projects as priorities evolve.\n\nResponsibilities: \nDesign reusable prompt templates, shot structures, style systems and negative-prompt strategies for image and video generation.\nBuild automated workflows for text-to-image, image-to-image, text-to-video, image-to-video, editing and variation generation.\nIntegrate and evaluate multiple generative-media APIs and open-source models using secure, versioned interfaces.\nCreate controls for composition, motion, camera behaviour, character or subject consistency, brand style and output format.\nDevelop prompt chaining and multimodal workflows that convert briefs, references or storyboards into production-ready assets.\nUse Python and media-processing tools to automate generation, post-processing, transcoding, validation and asset management.\nBuild evaluation rubrics and test sets for visual quality, prompt adherence, temporal consistency, safety, latency and cost.\nDocument prompts, seeds, settings, model versions and source references so successful results can be reproduced.\nApply copyright, likeness, consent, content-safety and data-handling controls to generated-media workflows.\nCollaborate with AI/ML, design, frontend, backend and QA teams to convert creative experiments into stable product capabilities.\n\nRequirements: \nStrong hands-on prompt engineering for image and video generation, editing and controlled variation.\nPractical understanding of diffusion, transformer-based generative models, conditioning and multimodal workflows.\nPython scripting and experience integrating model APIs or inference pipelines.\nWorking knowledge of visual composition, cinematography, shot planning, motion, pacing, aspect ratios and delivery formats.\nAbility to systematically compare outputs and improve quality through structured experimentation rather than subjective prompting alone.\nExperience with media processing and automation using tools such as FFmpeg, OpenCV or comparable libraries.\nUnderstanding of generative-media safety, copyright, consent, provenance and responsible-use requirements.\nA portfolio demonstrating high-quality, repeatable AI-generated image or video work and clear personal contribution.\n\nPreferred experience: \nComfyUI, Hugging Face Diffusers, ControlNet, LoRA, fine-tuning or custom inference workflows.\nExperience with major commercial image or video generation platforms and their APIs.\nVideo editing, motion graphics, sound design, colour workflows or creative-production tools.\nMultimodal LLMs for brief interpretation, storyboard generation, prompt expansion or automated quality review.\nExperience building template-driven creative systems used by non-technical users.\nSkills\nControlNet, Diffusers, FFmpeg, LoRA, OpenCV, Prompt Engineering, 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