JFrogAI Fullstack Engineer - Competitive Intelligence
JFrog is hiring an AI Fullstack Engineer - Competitive Intelligence in Tel Aviv, Israel. Level rates it ; you can apply on Level.
AI in this role
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 AI Fullstack Engineer - Competitive Intelligence 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
- 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
- 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)
How we rate this
AI Fullstack Engineer - Competitive Intelligence at JFrog rates 89 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you monitor a model once it's live, and how do you know it needs retraining?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- What's a project where you used LangChain hands-on?
- Walk me through how you've used CrewAI in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: RAG, ML Ops, NLP, LangChain, and CrewAI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new software engineer jobs (Builds AI ●●●●) by email
One email a week with the new software engineer jobs (Builds AI ●●●●), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles that build AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step