Data Engineer

Position:

Location:

At Incept Labs, we believe the future of education and research lies in humans and AI working

together side by side. AI brings the ability to process knowledge at scale, while people

contribute imagination, values, and lived experience. When combined, they create a partnership

where 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 building

domain-specific, next-generation AI solutions to enhance education and research.

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.
• 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.