Lead AI Systems Architect (Data-Centric AI & Multimodal)

📋 Description

• Design and build multimodal AI pipelines integrating computer vision, speech-to-text (e.g.
• Develop structured data extraction frameworks using tools such as Instructor, Pydantic, DSPy, and
• Optimize model performance and cost by transitioning workloads from commercial AI APIs to
• Implement data-centric AI techniques (e.g., Cleanlab, Snorkel, active learning) to automate
• Define architectural roadmaps, establish engineering standards, and mentor junior developers.
• Support development of AI-driven enrichment workflows and retrieval systems for processing large

🎯 Requirements

• At least 5 years of experience in applied AI, natural language processing, or computer vision.
• Proven experience designing and implementing multimodal pipelines integrating vision, speech, and
• Advanced proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Strong experience with production LLM orchestration and structured output tools (e.g., DSPy
• Hands-on experience fine-tuning and serving open-source models using vLLM, TGI, or comparable
• Experience with vector databases such as Qdrant, pgvector, or Pinecone, and with

🎁 Benefits

• Fully remote working arrangement.
• Annual salary of $12,000–$16,000.
• Opportunity to work on advanced multimodal AI systems, open-source model deployment, and
• Technical leadership opportunities, including architectural planning and mentoring junior