M
AI/ML Engineer Internship
Contract type
One-time
Work mode
Remote
Experience
Junior / entry level · Not stated
Level inferred from job title
Job description
An AI/ML Engineer internship focused on designing, building, and deploying autonomous AI agents using LLMs and reasoning frameworks within an e-commerce and supply chain ecosystem. The 3-month remote internship starts immediately and is unpaid initially, with potential for a paid full-time role or client FTE absorption based on first-quarter performance.
At a glance
- Employment
- Internship
- Work mode
- Remote
What you'll do
- Design and build autonomous AI agent architectures utilizing LLMs, advanced reasoning frameworks, and decision-making systems to achieve specific business goals (e.g., customer support automation, sales assistance, workflow optimization)
- Create agents that integrate directly into the platform to automate critical supply chain and administrative tasks, including customer support agents integrated into the e-commerce storefront and internal workflow automation agents (e.g., Slack integration, Jira automation)
- Implement and orchestrate multi-agent systems where specialized agents collaborate to solve complex, multi-step problems across different modules (MES, WMS, OMS)
- Develop and implement memory systems, sophisticated context management, and tool integration strategies (allowing agents to use internal APIs, search, or code execution) to enhance agent efficacy
- Implement techniques for agent improvement, including fine-tuning of LLM models and applying concepts from Reinforcement Learning for optimal decision-making
- Implement safety guardrails, define ethical usage guidelines, and build robust monitoring systems (collaborating with MLOps) to track and analyze agent behavior and performance in production
- Build agents capable of complex data analysis and insight generation using aggregated data from MES, WMS, and OMS
- Deploy agents that assist users directly within the e-commerce platform by accessing real-time catalog and inventory data
What we're looking for
- Mandatory hands-on expertise with agent construction frameworks like LangChain, LlamaIndex, and AutoGen
- Expert proficiency in Python and standard ML/Deep Learning libraries (e.g., PyTorch, TensorFlow)
- Experience preparing data for model fine-tuning and integrating agents via API endpoints into production services (Node.js/NestJS)
- Familiarity with MLOps concepts (versioning, deployment) and containerization (Docker) for agent deployment
- Understanding of vector databases and retrieval augmented generation (RAG) techniques
- Deep experience in machine learning, LLM technology, and production deployment
Your team
Technology
Reports to the Head of Technology/CTO, working closely with the Data Architect and MLOps Engineer to productionize and scale agent capabilities.
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About Metasys
Key facts
- Building Autonomous AI Agents
- E-commerce and supply chain ecosystem