Liquid Studios AI - Principal AI Engineer, Media Pipelines
Requirements
• Proven Engineering Experience: Senior engineering track record: Typically 10+ years building software, including time as the technical owner of a production system with real users, uptime commitments, and cost constraints. • Generative & Multimodal AI Proficiency: Production generative AI: You've shipped LLM or multimodal systems to production, such as agentic workflows, multi-step pipelines, or RAG. You've handled the parts demos skip: evals, retries, failure modes, and cost. • Generative & Multimodal AI Proficiency: • Modern stack fluency: Deep experience in Python and/or TypeScript and at least one major cloud platform. You choose tools on merit and can explain the tradeoffs. • Modern stack fluency: • Distributed systems and data: Strong grounding in job orchestration, queues, storage, and databases for large, long-running, failure-prone workloads. • Distributed systems and data • Technical influence: You've set direction for a system other engineers built on, through design docs, reviews, and mentoring. • Technical influence: • Media Processing Fundamentals: • Media processing: FFmpeg, codecs and containers, transcoding, loudness normalization, and caption or subtitle formats. • Speech and audio ML: speech recognition, text-to-speech, voice cloning, speaker diarization, or lip-sync. • Video understanding: scene detection, highlight and clip selection, or multimodal embeddings. • Self-hosting open-source models on GPUs, including capacity and cost planning. • Retrieval and vector search over large content catalogs. • Experience in media, publishing, podcasting, or creator platforms, or selling to enterprise media clients.
Responsibilities
• You know the pipeline end to end and have shipped at least one high-priority roadmap feature to production. • You've written an architecture review: where the pipeline breaks at 10x volume, and the plan to fix it. • You've run a structured model bake-off and changed a production model choice based on the results. • Cost-per-processed-minute is meaningfully lower, and you can show where the savings came from. • Every output type has automated quality gates and an eval score we track release over release. • Adding a new model, language, or output format takes days, not weeks. • Enterprise clients get the reliability they'd expect from a mature vendor: clear SLOs, incident reporting, and no silent failures. • How You Work • How You Work • AI-Native & Experimental Mindset: You experiment constantly. You test new models as they come out, build your own tools and agents, and have prototypes you can show us. You also know when a prototype is ready for production and when it isn't • AI-Native & Experimental Mindset: • Intrepidness & Audacity: You're comfortable without a playbook. Much of what we build hasn't been done before. You make sound bets on incomplete information, say what would change your mind, and change course when it does. • Intrepidness & Audacity: • Humility & Integrity: Exceptional collaboration skills without ego. Highly receptive to feedback, team-oriented, and deeply respectful of both technical and creative disciplines. • Humility & Integrity: • Product-Minded Builder: Highly execution-focused; you build with clear commercial utility and user impact in mind rather than just experimenting in isolation. • Product-Minded Builder: • Self-Directed & Proactive: You own outcomes. You work well remotely, set priorities against company goals, and keep others informed without needing day-to-day oversight. • Self-Directed & Proactive:
Benefits
• $175K – $200K • Offers Equity • Liquid Studios turns existing video, audio, and text catalogs into platform-native short-form clips, multi-language dubs, and formats that AI search and assistants can find and cite. We run it as a managed service that combines multi-model AI orchestration, agentic pipelines, and enterprise-grade quality control. Our clients are creators and media brands that want their catalogs to reach more platforms, in more languages.
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