Data engineer

Position: Software Engineer (Data)Location: Remote, IndiaAt Incept Labs, we believe the future of education and research lies in humans and AI workingtogether side by side. AI brings the ability to process knowledge at scale, while peoplecontribute imagination, values, and lived experience. When combined, they create a partnershipwhere each strengthens the other, opening new ways to discover, adapt, and grow.We are a small team of scientists, engineers, and builders who are passionate about buildingdomain-specific, next-generation AI solutions to enhance education and research.About This RoleWe're looking for a Software Engineer with deep expertise in large-scale data processing forLLM 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’sdata and model development infrastructure, and work with highly complex, multi-modal data.ResponsibilitiesDesign, build, and operate scalable, fault-tolerant data infrastructure to supportdistributed computing and data orchestration for LLM ResearchDevelop and maintain high-throughput systems for data ingestion, processing, andtransformation to support LLM model developmentDevelop synthetic datasets using state-of-the-art solutionsCollaborate with research teams to deliver critical data assets for model development and evaluationImplement and maintain monitoring and alerting to support platform reliability and performanceBuild systems for traceability, reproducibility, and robust quality control to ensure adherence to industry compliance standardsRequired Qualifications5+ years of experience in data infrastructure, ideally supporting high-scale applications or research platforms.Fluent in distributed computing frameworks.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.