Riskified

ecommerce

AppliedAIEngineer

Tel Aviv-Yafo, Israel Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Applied AI Engineer at Riskified. Skills: AI orchestration frameworks, Python, LLMs, RAG architectures, agent patterns, vector databases, semantic search. Build tools and automations for business teams. Write production code and own what you build”

What You'll Achieve.

Help business teams move faster and spend their time on the work that matters; Measure success by business impact, not technical elegance

Industry & Context.

ecommerce
Problems you'll solve

Identify and fix gaps in business processes

What They're Looking For.

Must Have

4-6+ years of software engineering experience with a track record of shipping production systems, Hands-on experience with AI orchestration frameworks: LangChain, LangGraph, LangFlow, or similar (LlamaIndex, CrewAI, AutoGen), Python skills and hands-on experience building AI-powered applications in production, Deep knowledge of LLMs, RAG architectures, agent patterns, tool use, and prompt engineering, Experience with vector databases and semantic search (Pinecone, Weaviate, pgvector, or similar), Solid fundamentals: API design, microservices, data cloud experience (AWS) is an advantage

Nice to Have

Experience with automation platforms (n8n, Workato, or similar), Familiarity with enterprise tooling ecosystems (Salesforce, NetSuite, BI, HRIS), Background in solutions engineering, technical consulting, or product management

What You'll Do.

Build tools and automations for business teams

Write production code and own what you build

Understand business processes and how to impact them

Find gaps in business processes and build solutions

Build and own solution definition

Build and own the build

How You'll Work.

Team & Collaboration

Work directly with business teams (finance, sales, legal); Collaborate with other engineers on a small, senior AI team; Share context, invite feedback, and make those around you better; Help business stakeholders develop AI fluency and become stronger partners over time

Communication Scope

Build trust naturally with stakeholders at every level

Full Job Description

About Us Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Booking.com, Acer, Gucci, Lorna Jane, GoPro, and many more. We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. About the Role We're hiring a software engineer to work directly with our business teams — finance, sales, legal — building tools and automations that help them do their jobs better. You'll write production code and own what you build, but most of your time will be spent understanding business processes and how to impact them. Most business teams have more day-to-day operational pain than they realize, and a lot more they could be doing with AI than they know. Your job is to find those gaps and build something that fixes them. Success looks like the team being able to move faster and spend their time on the work that matters, because everything else just runs. You'll have a lot of autonomy in this role. You'll decide what to work on, build it, ship it, and see whether it actually made a difference. You'll be doing this as part of a small, senior AI team, so while the day-to-day work is independent, you'll have other engineers to

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