Agentic AI Developer

Webitoco — Germany · Posted ~21 hours ago

Skills

Agentic AI LLMs AI Agents Multi-Agent Workflows RAG MCP Tool Integrations Python Multi-Agent Systems

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Summary ✨ AI‑Generated

A product-focused technology team is seeking an Agentic AI Developer to build autonomous AI systems that can plan, reason, use tools, and interact with business applications. You will develop multi-agent workflows, integrate large language models, create RAG pipelines, and build tool-based integrations to automate operational processes.

Highlights

High-ownership opportunity on a small, product-focused team building AI-native commerce technology. The role offers hands-on work with autonomous agents, LLMs, RAG, multi-agent workflows, and tool integrations.

Description

Webito is building an AI-native commerce platform that helps businesses launch and scale modern B2B and B2C online stores. Beyond traditional e-commerce, we're integrating AI agents directly into the platform to automate operations, assist merchants, and create intelligent shopping experiences. Our platform combines payments, inventory, orders, VAT, invoicing, and extensibility through a growing plugin ecosystem. We're a small, product-focused team that values ownership, fast execution, and building technology that solves real business problems. We're looking for an Agentic AI Developer to help build the next generation of AI-powered commerce. You'll design and implement autonomous AI agents capable of planning, reasoning, using tools, and interacting with different parts of the platform. Your work will include developing multi-agent workflows, integrating LLMs, building RAG pipelines, creating MCP/tool integrations, and improving how AI automates business operations. You'll work closely with the product and engineering team, experiment with new AI capabilities, and turn ideas into production-ready features used by real businesses. What we're looking for Strong software engineering skills with Python, TypeScript, Go, or similar languages.Experience building AI applications using LLMs and modern AI frameworks.Hands-on experience with agentic systems, tool calling, RAG, MCP, workflow orchestration, or multi-agent architectures.Solid understanding of backend development, APIs, cloud infrastructure, and production systems.Experience evaluating AI quality, observability, prompt engineering, and continuous improvement of AI workflows.Comfortable working independently in a remote, fast-moving startup environment.Bonus points if you've built open-source AI projects or contributed to developer communities.Experience in e-commerce, SaaS, or fintech is a plus.