AI Engineer
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What you'll do
- 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.
What they're looking for
- 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.
Nice to have
- 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.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
Our unique data and solutions empower thousands of customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.
In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people.
Why is this role so important at Similarweb?
AI is changing how every team at Similarweb works - how we research, how we build, how we sell, and how we support our customers. Rather than have every team solve the same hard problems from scratch, we are building a single, company-wide AI platform that everyone builds on.
As an AI Engineer on the AI Platform team, you will build that foundation: the agent runtime, the tool and data layer, the model gateway, and the evaluation and observability infrastructure that turn AI experiments into reliable production systems. Your users are Similarwebbers - engineers, analysts, data scientists, and business teams across the organization - and your work is what lets them ship agents and AI-powered workflows in days rather than quarters. This is a high-leverage, horizontal role. You will not be building one AI feature; you will be building the platform that dozens of AI use cases run on, and setting the standards for how AI is built and operated at Similarweb.
So, what will you be doing all day?
- 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.
This is the perfect job for someone who:
- 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.
Why you’ll love being a Similarwebber:
- Impact : Work with the world’s leading digital intelligence platform and make a real difference.
- Innovation : Bring your ideas forward - we empower you to drive change.
- Hybrid work model: 3 days in our office and 2 days working from home.
- Our Office: Modern space in Prague’s DOCK IN area, stocked with snacks, drinks (we're big fans of kombucha), fruit and lunches on Tuedays.
- Benefits: 5 weeks of vacation, birthday day off, 3 sick days, or Multisport
- Top-tier Hardware : MacBook Pro M5, dual monitors, standing desks.
- Team Events : Regular team-building activities, monthly birthday celebrations with cakes and drinks, baking Thursdays and happy hours.
- Equity : Share in Similarweb’s success.
- Career Growth : Explore any path - leadership, switching teams, or upskilling through coaching and learning programs.
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