Title: Senior AI/ML Expert
About the Company:
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 → architecture → deployment → scaling → 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
Strong experience with LLMs, RAG systems, and agentic AI workflows
Solid background in computer vision and deep learning
Experience with simulation environments (MuJoCo, Isaac, or similar)
Understanding of GPU architecture and performance optimization
Experience building scalable, distributed systems
Strong foundation in algorithms, optimization, and system design
Proficiency in Python and modern ML/DL frameworks
Experience in end-to-end product development (not just research)
Understanding of product-market fit and go-to-market strategies
Ability to translate business problems into scalable AI solutions
Exposure to business architecture and product commercialization is a plus
Entrepreneurial mindset or prior experience building products
Nice to Have:
Experience with robotics, autonomous driving, or real-time AI systems
Knowledge of MCP (Model Context Protocol) and advanced agent frameworks
Exposure to AI-powered quantum technologies
Advanced prompt engineering capabilities
