Job Title

SDE – Machine Learning (AI Agents)Location: Remote | Type: Paid | Experience: Max 1 year hands-on with AI Agents, LLMs, or RAG 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 casesBuild scalable RAG pipelines (Naive, Graph, Struct)Implement LLMOps and production-ready ML infrastructureOptimize LLM reasoning with CoT, ToT, GoT promptingDesign and deploy multi-agent orchestration with tools like LangGraph, LangChain, or AutoGenWhat You Must Know:Solid grasp of LLMs (GPT, LLaMA, etc.) and transformer architecturesHands-on experience with RAG systems and agentic workflowsFamiliarity 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 outcomesWhy Join Us:Work on cutting-edge AI products, not toy projectsBuild with serious engineers in a fast-moving startupMentorship, autonomy, and future full-time opportunity⚠️ Important: Only apply if you have up to 1 year of hands-on experience with LLMs, AI Agents, or RAG. No exceptions.Steps AI – We co-create the AI-native enterprise.