Sobre este puesto de Senior Full Stack Engineer - AI Applications en Walkme
WalkMe is growing and we want you to join us!
At WalkMe, we’re not just the leader in digital adoption, we started the digital adoption revolution - enabling organizations to measure, drive, and act to ultimately maximize the impact of their digital transformation and accelerate the return on their software investment.
The Experience unit at WalkMe is looking for a full-stack engineer. WalkMe Experience is the DAP gateway for hundreds of thousands of employees around the globe - this is where work starts. As part of the Experience Unit, you will be in charge of E2E applications research and development, from the building content process to the end user experience.
Our tech stack includes: React, NodeJs, NestJs, Typescript, Postgres, AWS and LLM
We are looking for people who are passionate about leading technology to the extreme. If you are striving to develop an innovative product, make an impact, and work with the industry’s brightest talent as part of one of the fastest-growing and successful startups around – WalkMe is where you want to be!
What will you actually be doing?
End to end development of features and systems that are used daily by key stakeholders, both internally and externally.
A technical focal point for software development best practices and design of main components, services and systems.
Integrate AI into the company applications.
Improve development workflow with AI capabilities.
Be part of an organic team developing in a fast paced environment based on CI/CD.
Investigate, implement and share new technologies and ideas.
What should you bring to the table?
Bachelor’s degree in CS/EE from a leading university - a must!
6+ years of professional software development experience, with JavaScript and web technologies.
3+ years of experience of server-side development with Node.js.
3+ years of experience of Client-side development with React.
Experience in designing and developing large distributed systems and microservices architecture.
Experience working with AWS or DevOps.
Expertise in AI models and techniques, including strategic model selection and industry awareness.
Experience working with large scale applications.
What we’d LOVE for you to bring to the table
In-depth knowledge of advanced AI techniques, including prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and other AI algorithmic methods.
