Full Stack Developer

Description Full Stack (Backend focused) Engineer [Freelance, Full-time, Remote] SNEAK PEEK ⇨ Location: Remote, GMT+0/GMT+4 ⇨ Interview process: HR interview + take-home challenge ⇨ Technical Interview ⇨ Final Interview WHO ARE WE? At Rounds , we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative, AI technology identifies and optimizes mobile assets, while our team of experts, with their unparalleled human capital and business acumen, provides the strategic direction and support to turn mobile assets into profitable businesses. Together, we are revolutionizing the mobile industry. You can find out more info about us here: . THE ROLE This is a backend-focused Full-Stack Engineering role to architect complex core platform systems and expand internal tools. It involves shipping production-grade server-side features in Go while contributing to the React frontend to deliver complete end-to-end features. You will design and deploy production AI/LLM functionality directly into our product ecosystem while leveraging AI tools day-to-day to accelerate development Responsibilities Architect, build, and maintain scalable backend services and core platform systems in Go and NodeJS/TS. Design and ship production-grade AI/LLM integrations, intelligent features, and internal tools. Develop intuitive, responsive user interfaces in React to deliver complete end-to-end functionality. Utilize modern AI tools and agents (such as Cursor, Claude, and GitHub Copilot) to accelerate daily coding, testing, and system design. Collaborate closely with team members to assess architecture risks, estimate timelines, and optimize system performance. Hiring manager: Tal Cohen (Linkedin) Requirements WHAT ARE WE LOOKING FOR? Must-have: 5+ years of commercial experience building and running large-scale, production systems 3+ years of production experience with Go/NodeJS/TS on the backend - or strong production experience with another backend language (e.g. Java, C#) Hands-on production experience building AI/LLM-powered features into a product (e.g. RAG pipelines, agentic workflows, LLM API integrations, prompt-driven features) - not just personal experimentation. Working proficiency in React (or a similar modern UI framework) and comfort moving between frontend and backend code as needed Experience with cloud platforms and their core services (AWS, GCP, or similar) Experience with at least two of the following: MySQL, PostgreSQL, MongoDB (or other NoSQL DB), Redis Excellent written and verbal communication skills in English Nice-to-have: Experience with broader ML/data science technology beyond LLM-based features Experience fine-tuning models or working with model evaluation/observability tooling, building harnesses. Prior contributions to open-source projects or libraries INTERESTED? Our recruitment process consists of the following steps: HR Interview (30 min) - Discuss your background and fit. Take-Home Challenge (~2 hours of work) - Practical assignment reflecting real work. Technical Interview (60 min) - Evaluate project, AI and software development skills. Final Interview (60 min) Get in touch at . We look forward to hearing from you! Originally posted on Himalayas