MNR Technologies is an AI-first product company building real-world, production-grade intelligent systems across industries. We work on cutting-edge areas including LLMs, agentic AI, RAG systems, computer vision, edge AI, and autonomous systems, focusing on scalable solutions that deliver measurable business impact.
Role Overview:
We are looking for an AI/ML engineer who can build production-grade AI systems that operate in real-world environments.
This role goes beyond experimentation—you will design, develop, and deploy robust AI systems across LLMs, computer vision, and autonomous systems, including simulation-driven development and robotics workflows.
You should be comfortable owning problems end-to-end—from idea â architecture â deployment â scaling â business impact.
Key Responsibilities:
- Design and build production-ready AI/ML systems with high reliability and scalability
- Work extensively with LLMs, RAG pipelines, and agentic frameworks
- Fine-tune and optimize models for real-world performance and efficiency
- Develop and deploy edge AI and computer vision solutions
- Architect and implement distributed, high-availability AI systems
- Optimize workloads across GPU architectures and compute environments
- Build on-demand LLM systems and intelligent automation pipelines
- Autonomous Systems & Robotics (Core Focus)
- Develop and research robotics teleoperation systems in simulation (MuJoCo, Isaac)
- Build scene and task generation toolchains in robotics simulators
- Develop reactive 3DGS-based end-to-end autonomous driving (E2E-AD) closed-loop simulators
- Deploy and train E2E-AD algorithms (UniAD, VAD, VADv2, etc.)
Requirements
Required Skills and Experience:
- 2–4 years of hands-on experience in AI/ML product development
- Robust experience with LLMs, RAG systems, and agentic AI workflows
- Solid background in computer vision and deep learning
- Experience w