AI System Engineer

OneOrigin Inc.; Bengaluru; On-site; INR 700,000 - 1,100,000; Full time

Job summary

OneOrigin Inc. in Bengaluru, India seeks an experienced AI engineer to design and build scalable AI systems for our higher-education software platform. You will work on end-to-end AI solutions using LLMs, GenAI, RAG, and ML pipelines.

We value hands-on experience with distributed cloud infrastructure, Docker/Kubernetes, cloud providers, APIs, vector databases, and strong system-design skills. Onsite role focused on AI-tech-heavy engineering for institutions.

Qualifications

• 4–8 years of strong software/AI engineering experience.
• Hands-on experience with LLMs, GenAI, RAG, AI Agents, or ML systems.
• Experience designing distributed systems, cloud infrastructure, and scalable architectures.
• Knowledge of Docker/Kubernetes, AWS/Azure/GCP, APIs, databases, and vector databases.
• Strong system-design and architecture skills.

Skills

Software/AI Engineering

LLMs/GenAI

Distributed Systems Design

System Design & Architecture

Tools

Docker

Kubernetes

AWS/Azure/GCP

APIs

Databases

Vector Databases

Job description

About this position

OneOrigin , where innovation meets imagination ! Based in Scottsdale, AZ and Bangalore, India, we’re on a mission to harness the power of AI to transform the way Higher Education

institutions operate. Our cutting-edge software solutions streamline administrative processes, enhance student engagement, and empower data-driven decision-making.

Whether it’s automating tasks, providing actionable insights, or improving learning outcomes, we make AI accessible and impactful for colleges and universities. #LI-Onsite

Must Have

• 4–8 years of strong software/AI engineering experience .
• Hands-on experience with LLMs, GenAI, RAG, AI Agents, or ML systems .
• Experience designing distributed systems, cloud infrastructure, and scalable architectures .
• Knowledge of Docker/Kubernetes, AWS/Azure/GCP, APIs, databases, and vector databases .
• Strong system-design and architecture skills.

Important: This is an AI-tech-heavy engineering role , not a Data Analyst, Power BI, or reporting role. Candidates should have hands‑on experience building and architecting AI system