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 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 ⚠️ 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. Show more Show less