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AI Engineer

As an AI Engineer at Similarweb, you will be instrumental in building the new AI Studio platform, which aims to provide instant answers to market research questions and generate reports and dashboards. You will design and develop LLM-based intelligent agents, integrating various tools and data sources to automate workflows and reduce time-to-insight for users.

About the role

About the Role

As an AI Engineer at SimilarWeb, you will be a key player in building our new AI platform, AI Studio. This platform aims to provide users with instant answers to complex market research questions, generate world-class reports, and create live, interactive, and powerful dashboards. Our goal is to reduce the complexity and time-to-insight for our users, helping them streamline their market tasks and achieve automation that drives real value.

Responsibilities

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.

Requirements

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.

Skills

PythonLanggraphLangchainLlmsPrompt EngineeringAI agent architecturesRest Apisintegrating external data sourcesAI Agents ecosystemLLM providersvector store solutionsMCPsevaluating LLM performanceevaluating LLM qualityAWS

DepartmentEngineering

LocationTel Aviv-yafo, Israel

Experience5+ years

Tenurefull-time

LevelMid-Level

Posted June 2, 2026

About the role

About the Role

Responsibilities

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.

Requirements

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.