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

📋 Description

• Design and build automated ingestion pipelines combining computer vision for scene classification
• Develop programmatic extraction frameworks using tools such as Instructor, Pydantic, DSPy, and
• Transition workloads from commercial AI APIs to fine-tuned open-source models, including Llama
• Implement data-centric AI techniques and frameworks, including Cleanlab, Snorkel, and active
• Define architectural roadmaps, establish engineering standards, and guide junior developers in
• Support the development of AI-driven enrichment workflows and retrieval systems capable of

🎯 Requirements

• At least 5 years of experience in applied AI, natural language processing, or computer vision.
• Proven experience designing and implementing multimodal pipelines that integrate vision, speech
• Advanced proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Strong experience with production LLM orchestration and structured output tools, including 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