JFrog
GenAI&CompetitiveIntelligenceEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“GenAI & Competitive Intelligence Engineer at JFrog. Skills: GenAI, LLMs, Competitive Intelligence, Python. Build AI-powered intelligence stack. Automate data collection, analysis, sharing”
What You'll Achieve.
Automate knowledge collection; Generate competitive insights; Ensure broad internal knowledge sharing; Get the right competitive insight to the right stakeholder at the right time; Enhance productivity and effectiveness
Industry & Context.
Analyze complex systems; Synthesize collected data into clear insights
What They're Looking For.
Must Have
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, 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)
Nice to Have
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)
What You'll Do.
Build AI-powered intelligence stack
Automate data collection
Make knowledge impossible to miss
Build competitive intel team interfaces
Drive projects from concept to execution
Evaluate and recommend ML/AI tools
Ensure scalability and reliability of LLM systems
Engage with requirement gathering
Conduct in-depth technical research
How You'll Work.
Team & Collaboration
Collaborate with IS, IT and data science teams; Serve as liaison across diverse org-groups
Communication Scope
Excellent English communication (written and verbal); Great communication skills; Proven ability to serve as a liaison
Process & Methodology
Spearhead AI solution projects, Drive projects from initial concept through execution
Full Job Description
At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate – and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if you’re willing to do more, your career can take off. And since software plays a central role in everyone’s lives, you’ll be part of an important mission. 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
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