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At JFrog, we’re reinventing DevSecOps to help the world’s greatest companies innovate. Our team of industry-leading software security experts are true pioneers, constantly pushing the boundaries with original research and technological innovation. JFrog is a special place with a unique combination of brilliance, spirit and just all-around great people. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production – a concept we call “liquid software”. Wouldn't it be amazing if you could join us on our journey? We are looking for a GenAI & Competitive Intelligence Engineer to join our Competitive Intelligence team. This role combines deep technical expertise with a builder's mindset to design, implement, and maintain advanced AI-powered systems for automating knowledge collection, generating competitive insights, and ensuring broad internal knowledge sharing across the organization. You will spearhead AI solution projects from initial concept through execution and widespread adoption. As a GenAI & Competitive Intelligence Engineer at JFrog, you will… Main role: Build, implement, and maintain the AI-powered intelligence stack, using LLMs, agentic capabilities, MCPs, Skills, and advanced RAG, to automate data collection, analysis and sharing Make knowledge impossible to miss inside JFrog. Build the competitive intel team’s interfaces that get the right competitive insight to the right stakeholder at the right time Drive projects from concept to execution to delivery Evaluate and recommend ML and AI tools and frameworks to enhance productivity and effectiveness Ensure the scalability and reliability of LLM-based system architectures Engage with requirement gathering and product discussions with internal customers at JFrog Be the focal point for collaborating with IS, IT and data science teams Have solid understanding of various aspects of the software development supply chain, including DevOps, DevSecOps and MLOps, and conduct in-depth technical research around them To be a GenAI & Competitive Intelligence Engineer at JFrog, you need… A proactive builder's mindset: a desire to automate workflows, take end-to-end ownership, and drive continuous improvement Bachelor's degree or higher in Computer Science, Data Science, Software Engineering, or similar 4+ years of relevant hands-on experience in developing and scaling production-grade GenAI architectures using modern LLM stacks Proficiency with relevant tools, processes, and frameworks, such as: LangChain, CrewAI, OpenClaw, PyTorch, Keras, NLP, Vector databases, RAG, building MCPs and Skills Coding fluency in Python and at least one other language (TypeScript/JavaScript, Go or Rust) Deep understanding of cloud and cloud-native principles, including hands-on experience with major Cloud environments (AWS, GCP, Azure) and containers/Kubernetes Proven ability to conduct deep technical investigations – analyze complex systems, cloud environments, source code, and documentation, and synthesize the collected data into clear insights Passion and curiosity to stay current of industry trends and technological advancements Great communication skills and proven ability to serve as a liaison, coordinating and driving action across diverse org-groups (IS, IT, data science) to ensure effective enterprise-wide systems integration Excellent English communication (written and verbal) Comfortable in a dynamic, fast-paced company Significant Advantages: Full-stack web development experience 3+ years of relevant hands-on experience in setting up, configuring, and using a broad range of industry DevSecOps technologies (ex. Kubernetes, JFrog Artifactory, GitLab, SonarQube, coding agents, security vulnerability scanners, GitHub Actions)
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.