AI Engineer

About The Role

AI-first future of industry

AI Engineer

computer science foundations

end-to-end AI solutions

data structures, algorithms, and system design

Responsibilities

• Design and implement scalable AI-powered features such as copilots, Retrieval-Augmented Generation (RAG), search and other AI capabilities.
• Build efficient end-to-end pipelines that handle large-scale industrial data with reliability and low latency.
• Integrate AI services into the Digital Twin ecosystem, ensuring seamless operator experiences.
• Apply strong problem-solving skills to optimize models and workflows for performance, efficiency, and robustness.
• Collaborate with AI researchers, product teams, and domain experts to translate concepts into production-ready solutions.
• Contribute to the continuous improvement of our AI-first industrial platform by writing clean, maintainable, and well-tested code.
  

Qualifications

• 7+ years of experience with bachelor’s / master’s in computer science, Engineering, or related field.
• Strong foundation in data structures, algorithms, complexity analysis, and system design.
• Professional experience building and deploying AI/ML-driven solutions.
• Ability to design and implement scalable APIs and services within modern full-stack environments (MEAN stack experience is a strong plus) and for mobile as well.
• Knowledge of search, optimization, and applied AI techniques such as anomaly detection, recommendation, and natural language interaction.
• Strong problem-solving mindset, with ability to balance theoretical rigor and practical deployment needs.
• Experience in Industrial domains is a plus.
  

Why Join Us

design how intelligence is experienced by operators

safety, efficiency, and autonomy