Overview
Job Title: Software Engineer – LLM Evaluation & Training
Location: Bangalore
Job Type: Full-time
Experience Level: 1+ Year of expereicne in Backend, Frontend, and Fullstack Engineering
About the Role:
We’re on the lookout for versatile Software Engineers (Backend, Frontend, and Fullstack) who are excited about contributing to the future of Large Language Models (LLMs). You’ll help us design systems that train, test, and evaluate LLMs—from building intuitive interfaces for prompt testing to backend data pipelines for model evaluation and experimentation.
You don’t need prior experience in ML or NLP—just strong engineering fundamentals and a desire to work on cutting-edge AI tools and workflows.
What You’ll Do:
- Build tools and infrastructure to test, evaluate, and improve LLMs.
- Design and develop UIs, dashboards, and workflows for researchers and data scientists to interact with LLMs (Frontend/Fullstack).
- Develop backend services, APIs, and data pipelines to support model training, inference, and evaluation (Backend/Fullstack).
- Contribute to internal tools that support prompt engineering, data annotation, and quality evaluation.
- Work closely with ML and research teams to integrate LLMs into products and platforms.
- Monitor system performance and continuously optimize workflows for efficiency and accuracy.
We’re Looking for Engineers Who:
- Are strong in at least one of: Frontend (React/Next.js), Backend (Node.js, Python, Java), or Fullstack.
- Have experience building scalable applications, web services, or data-heavy platforms.
- Are curious about AI and LLMs, even if they haven’t worked on them directly.
- Can learn quickly and adapt in a fast-moving, cross-functional team.
- Enjoy working with researchers, data scientists, and product teams.
Why You’ll Love It Here:
- Work on real-world applications of generative AI and language models.
- Collaborate with a passionate team of engineers, researchers, and designers.
- Flexible environment with a focus on impact and learning.
- Opportunity to grow into more ML-oriented or product-focused roles if desired.
Open to diverse profiles – Backend, Frontend, or Fullstack. If you're curious about LLMs and want to build cool stuff around them, we want to talk to you!