Able

Design and build end-to-end scalable applications across frontend and backend layers. Lead technical discovery, define system architecture, and guide engineering teams through code reviews and technical direction.

Lead the design and implementation of production AI systems to solve business problems for partners. Drive the organization's AI strategy through technical leadership, innovation, and mentorship of engineering teams.

Develop pipelines to extract complex data from visual documents using Vision-Language Models and layout analysis. Orchestrate AI agents and chains using LangChain or LangGraph to reason about data and generate accurate responses.

Architect and develop robust ETL pipelines for graph ingestion and manage high-volume data streams using Kafka. Ensure graph hygiene through automated deduplication and optimize query performance for large-scale datasets.

This Data Engineer will shape large-scale data architecture vision, establish governance, and lead strategy around platform selection, integration, and scaling for client engagements. Responsibilities also include designing and implementing modern data lakehouse architectures, building scalable ETL/ELT pipelines, and developing cost-optimized, compliant data solutions.