Lead the design and scaling of advanced AI systems transforming unstructured social media data into structured products. Oversee multimodal pipelines integrating computer vision, speech recognition, and large language models while optimizing performance, cost, and data quality. Drive technical leadership, mentor developers, and establish best practices for AI-driven data infrastructure at scale.
Key Highlights
Design and scale AI systems for structured data extraction from unstructured social media content
Lead multimodal pipelines combining computer vision, speech recognition, and large language models
Optimize model performance, reduce costs via open-source models, and enhance data quality
Key Responsibilities
Oversee design, implementation, and optimization of AI-powered data processing systems for accuracy, efficiency, and scalability
Develop multimodal AI pipelines integrating computer vision, speech-to-text, and large language models
Build structured data extraction frameworks ensuring consistent, validated JSON outputs from generative models
Optimize model performance and reduce costs by transitioning from commercial APIs to fine-tuned open-source models
Implement data-centric AI techniques and frameworks for automated large-scale labeling and quality assurance
Define architectural roadmaps, establish engineering standards, and mentor junior developers
Support scalable data infrastructure for AI-driven enrichment and retrieval workflows
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Technical Skills Required
Python
Multimodal AI Systems
Large Language Models (LLMs)
Benefits & Perks
Fully remote working arrangement
Annual salary of €12,000–€16,000
Opportunity for technical leadership and mentoring
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Nice to Have
Experience with social media data pipelines (TikTok, Instagram Reels, YouTube Shorts)
Background in data-centric AI, active learning, or synthetic data generation
Experience with vector databases (Qdrant, pgvector, Pinecone) and RAG architectures
Job Description
This is an opportunity for an experienced AI engineer to design and scale advanced AI systems that transform unstructured social media content into high-quality, structured data products. You will lead the development of multimodal pipelines combining computer vision, speech recognition, and large language models. The role focuses on building reliable data extraction workflows, optimizing model performance, and improving the quality of large-scale datasets. You will also drive the adoption of open-source models and efficient inference infrastructure to improve scalability and control costs. Working at the intersection of applied AI, data engineering, and social media intelligence, you will help shape the technical architecture of an evolving AI and Data Lab. You will also provide technical guidance to junior developers and establish engineering practices that support sustainable growth.
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