> Markdown version of [/jobs/ext/3624356-agent-platform-engineer](https://www.wearedevelopers.com/jobs/ext/3624356-agent-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agent Platform Engineer - **Company:** SimilarWeb LTD - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Python (Programming Language), Machine Learning, Software Engineering, Systems Integration, Cloud Platform System, Large Language Models, Prompt Engineering, Agentic-AI, Virtual Agents, Restful APIs - **Published:** October 8, 2026 - **Apply:** https://job-boards.greenhouse.io/similarweb/jobs/8264120 ## About the Role * 5+ years of experience in software engineering, with strong proficiency in Python. * Experience with LangGraph, LangChain, or similar frameworks for building AI agents. * Strong understanding of LLMs, prompt engineering, and AI agent architectures. * Familiarity with REST APIs and integrating external data sources. Preferred Skills: * Familiarity with the AI Agents ecosystem, including different LLM providers, vector store solutions, MCPs, and more. * Experience with evaluating LLM performance and quality. * Familiarity with cloud environments, especially AWS. **At Similarweb, collaborating with our colleagues in-office creates a more connected, unified culture. Our best work is a product of our face-to-face collaboration, with the ability to work partially from home.** ## Description * Design and develop LLM-based intelligent agents that can handle complex market research queries. * Utilize LangGraph and other frameworks to create state of the art AI agents that integrate various tools and data sources. * Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead. * Collaborate with product, data, and UX teams to ensure that AI solutions are aligned with user needs and business goals. * Continuously evaluate and improve the performance of AI models to ensure high-quality and data-driven results.