AI System Engineer

Oneorigin; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

OneOrigin, based in Scottsdale, AZ and Bangalore, India, is on a mission to harness AI to transform higher education administration. This AI‑tech heavy engineering role focuses on building scalable AI systems and distributed cloud infrastructure to streamline processes and unlock data-driven insights for colleges and universities.

You will work with LLMs, GenAI, and ML systems, shaping architecture, APIs, and vector databases while collaborating with cross-functional teams to deliver robust,

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

Skills

Software/AI engineering

LLMs & GenAI

Distributed systems design

Cloud infrastructure

System design

Tools

Docker/Kubernetes

AWS/Azure/GCP

APIs

Databases

Vector databases

Job description

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 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