Machine Learning Intern

Role:

Location:

What We're Looking For:

We need an exceptionally strong coder with real-world experience in LLMs, RAG systems, and multi-agent orchestration. You must be curious, fast-learning, and excited to build with a high-performance startup team.

Who We Are:

Steps AI builds advanced GenAI products that power agentic data retrieval and automation for enterprises. We work on LLMs, multi-agent systems, RAG, LLMOps, and generative AI orchestration.

Key Responsibilities:

• Develop LLM-based agents for enterprise use cases
• Build scalable RAG pipelines (Naive, Graph, Struct)
• Implement LLMOps and production-ready ML infrastructure
• Optimize LLM reasoning with CoT, ToT, GoT prompting
• Design and deploy multi-agent orchestration with tools like LangGraph, LangChain, or AutoGen

What You Must Know:

• Solid grasp of LLMs (GPT, LLaMA, etc.) and transformer architectures
• Hands-on experience with RAG systems and agentic workflows
• Familiarity with Docker, MLOps, cloud deployment (AWS/Azure)
• Strong coding skills, system design, and software architecture principles
• Proficiency in Python, PyTorch/TensorFlow, Hugging Face, LangChain, etc.
• Ability to work collaboratively and own outcomes

Why Join Us:

• Work on cutting-edge AI products, not toy projects
• Build with serious engineers in a fast-moving startup
• Mentorship, autonomy, and future full-time opportunity

Steps AI We co-create the AI-native enterprise.

Company: www.stepsai.co

Linkedin: https://ca.linkedin.com/company/stepsai-aide