Engineering Lead

AI Engineering Leads Data Pipelines

Responsible for development of AI solutions/agents to assist in the design, building and monitoring and support of data pipelines in the cloud.

Should be able to conceive use cases for infusing Gen-AI into the data pipeline development and monitoring process. Having identified the use case, they would design the solution, develop and deploy it. This will involve a combination of hands on development and guiding jr team members on implementation.

Key Responsibilities

• Define system architecture for multimodal document processing, OCR, LMMs, and data pipelines.
• Design modular, pluggable OCR evaluation platform (Tesseract, Textract, DocAI, GPT-Vision, LayoutLM, Donut, etc.).
• Architect preprocessing (OpenCV), post-processing, normalization, and document understanding layers.
• Lead design of routing engines, ensemble logic, and feedback fine-tuning loops.
• Oversee data lake, vector index, and metadata storage design.
• Guide cloud infrastructure (AWS/Azure/GCP) for scalable processing of millions of documents.
• Partner with leadership on roadmap, cost optimization, and vendor evaluations.