Senior Data Engineer | Incept Labs

Incept Labs is an AI research lab based in San Francisco, California. Our small team of scientists, engineers, and builders is passionate about developing domain‑specific, next‑generation AI solutions to enhance education and research. Backed by marquee investors and scientific collaborators, we believe in a future where humans and AI work together side by side. Together, AI processes knowledge at scale while humans contribute imagination, values, and lived experience, creating new ways to discover, adapt, and grow. About This Role We're looking for a Software Engineer with deep expertise in large‑scale data processing for LLM development. Data engineering is critical to successful model training and evaluation. You'll work directly with researchers to accelerate experiments, develop new datasets, improve infrastructure efficiency, and enable key insights across our data assets. You’ll join a high‑impact, compact team responsible for both architecture and scaling of Incept’s data and model development infrastructure, and work with highly complex, multi‑modal data. Responsibilities Design, build, and operate scalable, fault‑tolerant data infrastructure to support distributed computing and data orchestration for LLM Research Develop and maintain high‑throughput systems for data ingestion, processing, and transformation to support LLM model development Develop synthetic datasets using state‑of‑the‑art solutions Collaborate with research teams to deliver critical data assets for model development and evaluation Implement and maintain monitoring and alerting to support platform reliability and performance Build systems for traceability, reproducibility, and robust quality control to ensure adherence to industry compliance standards Required Qualifications 5+ years of experience in data infrastructure, ideally supporting high‑scale applications or research platforms. Deeply familiar with cloud infrastructure, data storage architectures, and batch + streaming pipelines. Experience with specialized hardware (GPUs, TPUs) computing and GPU cluster. Strong knowledge of databases, storage systems, and how architecture choices impact performance at scale. Familiar with microservices architectures, containerization and orchestration, and both synchronous and asynchronous processing. Extensive experience with performance optimization and memory management in high‑volume data systems. Proactive about documentation, automation, testing, and empowering your teammates with good tooling. This role is fully remote, India-based. Compensation and benefits will vary based on background, skills, and experience levels. #J-18808-Ljbffr Titan Holdings