> Markdown version of [/jobs/ext/3627946-backend-engineer-with-ai-experience](https://www.wearedevelopers.com/jobs/ext/3627946-backend-engineer-with-ai-experience). 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). --- # Backend Engineer with AI Experience - **Company:** SimilarWeb LTD - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Audit Trail, Continuous Integration, Memory Management, Python (Programming Language), Machine Learning, Software Engineering, Datadog, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Agentic-AI, Kubernetes, Machine Learning Operations, Prompt Injection, Virtual Agents, Restful APIs - **Published:** October 8, 2026 - **Apply:** https://job-boards.greenhouse.io/similarweb/jobs/8264129 ## About the Role * 5+ years of experience in software engineering, with strong proficiency in Python. * Hands-on experience with LangGraph, LangChain, or similar frameworks for building AI agents. * Strong understanding of LLMs, prompt engineering, and AI agent architectures. * Solid grounding in production engineering: REST APIs, asynchronous services, integrating external data sources, containers, and CI/CD. * Strong collaboration and communication skills, including with non-engineering stakeholders across the business. 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, and with LLM observability tooling * LLMOps experience: cost and latency optimization, semantic caching, model routing, and capacity planning. * Experience designing RAG systems over large or heterogeneous data sources. * Awareness of AI-specific security and safety concerns, and how to mitigate them in a multi-tenant internal platform. * Familiarity with cloud environments, especially AWS, and with Kubernetes and infrastructure-as-code. **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 build the core agent platform - runtime, orchestration, state and memory management, and a shared agent SDK that teams across the company use instead of rebuilding foundations. * Build and operate the tool and connector layer, including MCP servers that expose Similarweb data, internal systems, and third-party services to agents in a consistent, safe way. * Develop LLM-based agents for high-value internal workflows, and turn the reusable parts of each one back into platform capabilities. * Implement integrations that let agents take automated actions on behalf of users, streamlining workflows and reducing manual overhead. Model gateway and governance * Establish secure-by-default patterns: permissioning and data-access boundaries, PII handling, prompt injection defenses, and audit logging, in line with Similarweb's security and privacy standards. * Continuously evaluate and improve the performance of AI models and agents to ensure high-quality, data driven results.