Artificial Intelligence Engineer

SDE – Machine Learning (AI Agents)

Location : Remote | Type : Paid | Experience : 0 to 3 years (Hands-on exp 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 hands-on experience with LLMs, AI Agents, or RAG. No exceptions.

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