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’re looking for the newest member of our DevX group, where you'll have the unique opportunity todevelop AI-based solutions aimed at boosting productivity at JFrog and redefining our Software Development Lifecycle (SDLC).
As a Principal AI engineer at JFrog you will...
- Recommend and test agentic productivity tools.
- Collaborate with key organizational stakeholders to understand AI requirements and design end-to-end AI productivity solutions.
- Explore and experiment with novel ML and AI techniques and architectures to drive DevX and productivity innovation.
- Evaluate and recommend ML and AI tools and frameworks to enhance productivity and effectiveness.
- Provide technical guidance and mentorship to development teams on AI and ML technologies and practices.
- Define meaningful KPIs and closely monitor cost.
To be a Principal AI engineer at JFrog you need…
- A bachelor's degree or higher in Computer Science, Data Science, or a related field
- Proven experience in software development
- Proficiency in LLM-related tools, processes, and frameworks, including OpenAI Models and APIs, Hugging Face Transformers, LangChain, vector databases, and prompt management tools like PromptPerfect/PromptBase and Guardrails
- Experience with cloud platforms, such as AWS, Google Cloud, or Azure
- Proficiency in Python programming
- Experience deploying LLM-based applications in a production environment
- Excellent problem-solving and analytical skills
- Experience with CI / CD tools
- Strong communication skills and the ability to collaborate effectively in a team