Senior Data Engineer

Uplers; Remote; INR 60,00,000 - 70,00,000; Full time

Job summary

A technology firm is seeking a Senior Data Engineer skilled in large-scale data processing for AI research. This fully remote position is crucial for developing next-generation LLM solutions. Candidates should possess over 5 years of experience in data infrastructure and a strong background in distributed systems. Offering a competitive salary based on experience and a dynamic work environment, this role allows you to collaborate directly with research teams to enhance data-driven insights.

Qualifications

• 5+ years of experience in data infrastructure, ideally supporting high-scale applications or research platforms.
• Fluent in distributed computing frameworks.
• Deep familiarity with cloud infrastructure, data storage architectures, and batch + streaming pipelines.

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.
• Collaborate with research teams to deliver critical data assets for model development and evaluation.

Skills

Telecom background

Python

Job description

Experience

5+ years

Salary

INR 6,000,000–7,000,000 / year (based on experience)

Expected Notice Period

30 days

Shift

Asia/Kolkata (IST)

Opportunity Type

Remote

Placement Type

Full Time Permanent (Payroll and compliance managed by Incept Labs)

Must Have Skills

Telecom background, Python

Senior Data Engineer

About Us

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.

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.

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
• Deep familiarity 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 teammates with good tooling

Remote – India Based

This role is fully remote, India‑based. Compensation and benefits will vary based on background, skills, and experience levels.

How to Apply

• Click Apply and register or login on the portal
• Complete the screening form and upload an updated resume
• Increase your chances to get shortlisted and meet the client for the interview

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Next Steps

If you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don’t hesitate to apply today. We are waiting for you.