{"id":4260017,"url":"https://alion.io/job/talentgrator-ai-rd-and-infrastructure-engineer","title":"AI R&D and Infrastructure Engineer","company":{"id":685221,"name":"Talentgrator","domain":"talentgrator.com","url":"https://alion.io/company/talentgrator","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dubai, United Arab Emirates"],"countries":["AE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ComfyUI","optional":false},{"name":"ControlNet","optional":false},{"name":"CUDA","optional":false},{"name":"Docker","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Quantization","optional":false},{"name":"Stable Diffusion","optional":true}],"status":"live","first_seen_at":"2026-11-13T15:05:34Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-14T10:30:08Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"A new AI-powered film and content production studio based in Dubai, specializing in AI-driven video and cinematic content.\nOur client values ownership, accountability, and a proactive approach to work. The company fosters a culture of trust, providing team members with a high level of autonomy and freedom in decision-making rather than relying on micromanagement. At the same time, this autonomy comes with a strong sense of responsibility, the ability to make sound decisions, and readiness to take ownership of outcomes. Hands-on experience with AI tools and technologies is a mandatory requirement for this position.\nResponsibilities:\nOptimize AI pipelines on in-house hardware, working with GPUs, VRAM, CUDA, quantized models, and generation parameters.\nDeploy, configure, and optimize locally hosted AI models for image and video generation, primarily using ComfyUI.\nResearch and test new AI models and technologies, conduct comparative benchmarks, evaluate speed and quality, and provide implementation recommendations.\nImprove software architecture and production workflows, including Docker, Kubernetes, modularity, backups, versioning, and release management.\nMaintain and develop technical infrastructure, including networks, remote access, and security.\nDocument technical changes, testing results, and optimization outcomes.Strong technical background and broad expertise across AI, hardware, software, and infrastructure.\nRequirements\nHands-on experience with local deployment of image and video generation models.\nKnowledge of ComfyUI, CUDA, Linux, model quantization, and optimization techniques.\nUnderstanding of GPU architectures and how hardware specifications affect AI performance.\nKnowledge of Blender, ControlNet.\nExperience with Docker/Kubernetes and building reliable software pipelines.\nAbility to work independently, take initiative, learn new technologies quickly, and identify optimization opportunities.\nStrong organizational skills, accountability, and attention to 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