- Build and deploy production‑grade LLM applications.
- Design and optimize RAG systems (embeddings, vector search).
- Develop AI agents capable of multi‑step reasoning and execution.
- Work on context engineering to improve AI understanding of users.
- Improve output quality via prompt engineering and evaluation loops.
- Build APIs, backend systems, and data pipelines for AI features.
- Optimize systems for scalability, latency, and reliability.
A Successful AI Engineer Should Have
- 2-3 years of software/AI engineering experience.
- Strong proficiency in Python.
- Hands‑on experience with LLMs and applied AI systems.
- Experience with RAG systems, embeddings, or retrieval workflows.
- Ability to build and ship end‑to‑end AI features.
- Understanding of backend systems and data pipelines.
- Bonus: experience with prompt optimization or AI side projects.
The client is a leading edtech platform focused on transforming how students learn through live and interactive education. They are building AI‑driven learning systems that personalize education based on student behavior, performance, and context.
- Opportunity to build AI systems used by students daily.
- High ownership and fast execution environment.
- Exposure to both AI system design and production engineering.
- Mentorship from strong engineering leaders.
- Compensation aligned with impact.
If you are an AI Engineer passionate about making a difference in education, we encourage you to apply for this role in Bengaluru.
This role focuses on building production‑grade applied AI systems, including LLM applications, RAG pipelines, and AI agents. You will work across data, reasoning, and backend systems to deliver personalized learning experiences at scale.
