AI Vibe Coding Jobs

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As an AI Pilot Vibe Coding Specialist on the Tendem project at Mindrift, you will own end-to-end data extraction workflows across complex websites ensuring complete coverage, accuracy, and reliable delivery of structured datasets. You will leverage internal tools such as Apify and OpenRouter alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Your role involves ensuring reliable extraction from dynamic and interactive web sources by adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. You will enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Additionally, you will scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes. Collaboration with Tendem Agents involves providing critical thinking, domain expertise, and quality control to deliver accurate and actionable results in a hybrid AI plus human system.

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As a Client Operations Engineer (Growth Expert) at GrowthX, your responsibilities include designing and building custom solutions ranging from AI-powered workflows to full-stack applications that leverage technical SEO, marketing expertise, and technical skills. You will occasionally interface directly with clients and work closely with internal teams to translate client requirements into technical solutions that drive measurable growth. Your work spans the entire development lifecycle from conceptualization and architecture to implementation, testing, and deployment. You will also contribute to internal projects by developing tools for the marketing team and creating micro-applications on top of the AI stack, bridging marketing and engineering in both external client projects and internal innovation. Day-to-day tasks vary and may include updating websites and micro-apps, developing client-specific applications over several months, configuring large language models (LLMs) to power new AI workflows, and building internal tools to streamline operations. You are expected to work in a fully remote environment with flexible scheduling that requires at least 4 hours of overlap with US Pacific Time for synchronous collaboration.

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As a Client Operations Engineer, you will design and build custom solutions including AI-powered workflows and full-stack applications by leveraging your technical SEO, marketing expertise, and technical skills. You will occasionally interface directly with clients and work closely with internal teams to translate client requirements into technical solutions that drive measurable growth. Your responsibilities span the entire development lifecycle such as conceptualization, architecture, implementation, testing, and deployment. Besides client projects, you will contribute to the internal ecosystem by developing tools for the marketing team and creating micro-applications on the AI stack. Your day-to-day work may include updating websites and micro-apps, developing client-specific applications, configuring LLMs to power new AI workflows, and building internal tools to streamline operations, applying your growth optimization expertise.

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Design and build scalable, low-latency AI inference microservices for high-volume video processing. Collaborate with the team to build production pipelines for Video Understanding and LLMs, ensuring the model's throughput, cost-efficiency, and integration into the core backend. Ensure all code, whether written or AI-generated, is modular, type-safe, thoroughly tested, and maintainable. Profile and optimize Python/C++ code and model inference layers using methods like quantization, batching, and caching to reduce GPU costs and user wait time. Conduct research on cutting-edge LLMs/multimodal models and rapidly refactor experimental code into stable, production-ready features.

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Design and build scalable, low-latency AI inference microservices for high-volume video processing. Collaborate with the team to build production pipelines for Video Understanding and LLMs, focusing on model throughput, cost-efficiency, and backend integration. Ensure all code is modular, type-safe, thoroughly tested, and maintainable, using AI-assisted coding tools as needed. Profile and optimize Python/C++ code and model inference layers to minimize GPU costs and user wait time. Conduct research on cutting-edge LLMs/multimodal models and rapidly refactor experimental code into stable, production-ready features.

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You will help build the next generation AI video maker, creating prototypes, beta, and production versions in close collaboration with product and marketing teams. This team is tasked with developing an agent-based product that ingests content and automatically composes quality videos for social media.

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The Production Manager - AI Trainer supervises and coordinates production and operating workers while utilizing their expertise to enhance AI model training for manufacturing environments. They analyze, annotate, and evaluate datasets, refine AI documentation and prompts, and collaborate remotely to ensure AI systems accurately reflect real-world supervisory tasks.

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Maintain accurate records of shipments while coordinating logistics and inventory. Act as a subject matter expert to train and provide feedback for AI system development and annotation.

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Negotiate experts are tasked with leveraging their subject matter expertise to model expert strategies and execution in complex negotiations for the purpose of creating high-quality data. They will participate in a leading initiative that informs the future of AI innovation using state-of-the-art large language models.