AI System Engineer
OneOrigin Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at OneOrigin. Bengaluru · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and architect AI systems using LLMs, generative AI, retrieval-augmented generation, agents or machine-learning systems
- Develop backend services and APIs in Python for AI engineering work
- Design distributed systems and scalable architectures, including cloud infrastructure
- Apply system-design skills to create AI-focused engineering solutions
What you bring
- You bring four to eight years of software or AI engineering experience
- You have hands-on experience building with LLMs, generative AI, RAG, AI agents or machine-learning systems
- You have strong Python and backend/API development skills
- You have experience designing distributed systems, cloud infrastructure and scalable architectures
Who this fits
This role suits a hands-on AI systems engineer focused on building and architecting systems, rather than data analysis or reporting. It is a full-time position located in Bengaluru.
From the employer
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.
Must Have
- 4–8 years of strong software/AI engineering experience.
- Hands-on experience with LLMs, GenAI, RAG, AI Agents, or ML systems.
- Strong Python + backend/API development skills.
- 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