Website:
mstack.ai
Job details:
Location: Bengaluru, India
About Mstack AI
Mstack AI is building a high-fidelity chemical intelligence platform that helps accelerate chemical research and development using AI.
Our platform transforms scientific literature, patents, and experimental data into structured, machine-readable knowledge. By combining data engineering, AI, and knowledge graphs, we're building the data foundation that powers next-generation scientific discovery.
If you enjoy solving challenging engineering problems with real-world impact, you'll fit right in.
What You'll Do
As an AI Data Engineer, you'll help build the data platform that powers AI, analytics, and scientific applications across Mstack AI.
You'll work on problems such as:
- Building scalable data pipelines for patents, journals, and scientific datasets
- Transforming unstructured scientific literature into structured, provenance-aware data
- Contributing to molecule- and reaction-centric knowledge graphs
- Building reliable data infrastructure that powers AI, machine learning, robotics, and analytics
- Improving data quality, observability, and reproducibility across the platform
What We're Looking For
We're looking for engineers who:
- Have strong computer science fundamentals
- Enjoy building scalable backend and data systems
- Are comfortable programming in Python, Java, Go, or Scala
- Understand the fundamentals of machine learning and modern AI systems
- Are curious, enjoy learning new domains, and like solving complex problems
Prior experience with data engineering, distributed systems, LLMs, RAG, knowledge graphs, or scientific data is a bonus, but not a requirement.
Why Join Us?
This is an opportunity to work on problems that are technically challenging and scientifically meaningful.
You'll work with experienced engineers and researchers on production systems that demand correctness, reproducibility, and high-quality data. The work you do will directly contribute to building AI systems that accelerate scientific discovery.
If you're excited about building the data foundation for AI rather than simply consuming AI APIs, we'd love to hear from you.
Click on Apply to know more.
