AI Engineer

At Motion G, we are building an AI-native platform that revolutionizes collaboration between professionals and Virtual Experts (VEs). Our mission is to leverage cutting-edge AI to address real business challenges, enhance productivity, and shape the future of work. As an AI Engineer , you’ll help develop and optimize the AI models that power our platform, driving innovation and tangible impact.

What You’ll Work On

As an AI Engineer, you’ll work across the full lifecycle of AI-driven application development. You won’t just contribute to models — you’ll build usable products, experiment with tools, and apply AI where it truly matters.

You’ll be expected to:

• Build and deploy AI-powered features and prototypes across different use cases
• Rapidly test ideas using a wide range of tools, APIs, and frameworks
• Stay on top of the latest models, libraries, and protocols — and apply them creatively
• Develop independent perspectives on what new AI capabilities mean for our platform
• Connect technical work with user needs — with strong product sense and execution mindset

We’re looking for people who are resourceful, fast-moving, and relentless in solving problems from ambiguity to outcome.

Who We’re Looking For

We welcome fresh graduates who bring technical fundamentals and a builder’s mindset. We value attitude as much as aptitude. You should be:

• Passionate about AI and product building — you love creating things that matter
• Motivated and proactive — you don’t wait for instructions, you chase progress
• Resilient — you don’t give up when things are hard, you find another way
• Curious and independent-minded — you form your own views, explore deeply, and challenge assumptions

Must-haves:

• A degree in Computer Science, Engineering, AI, or a related field
• Solid programming skills in Python
• Exposure to ML, NLP, or LLMs — through projects, research, or coursework
• Familiarity with open-source tools like PyTorch, LangChain, Hugging Face, etc.
• Strong interest in applying AI in real-world business and product settings