Preply

Overview

As the Senior Platform Software Engineer in the R&D Automation team, you’ll combine strong backend software engineering with hands-on AI expertise to build agentic systems that change how software is developed at Preply.

About Preply

At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. We’ve just reached unicorn status with a $150M Series D, accelerating our

Requirements & Eligibility

• Extensive experience (~8 years) designing and building complex backend software systems.
• Strong software engineering skills with production experience using Python.
• Hands-on experience building AI agents, agentic workflows or platforms that enable others to build and use AI-powered capabilities.
• Strong understanding of modern agentic AI patterns, including context management, tool use, orchestration and evaluation/verification.
• Experience integrating AI systems with APIs, MCPs, internal tools, codebases and other engineering systems.
• Experience taking new technical ideas from experimentation or proof of concept into robust, scalable solutions.
• Good understanding of distributed systems and the backend architecture required to operate AI-powered systems reliably.
• Strong communication skills. Minimum C1 English level.

Key Responsibilities

• Design and build AI agents and the harness that power them using Python.
• Build reusable agent capabilities, tools and integrations that connect AI systems with our engineering ecosystem and internal knowledge.
• Develop agentic workflows across Engineering, Product, Design and Data, including coding, testing and code review, and across the broader software development lifecycle.
• Experiment rapidly with new AI capabilities, taking ideas from proof of concept through validation and scalable adoption.
• Design effective context, orchestration and verification mechanisms for reliable agentic workflows.
• Measure how agents are used and the value they create, using data and feedback to continuously improve them.
• Make thoughtful decisions about where AI can add value, where human judgment remains essential, and how the two should work together.
• Collaborate closely with engineers, designers, product, and data teams across Preply to understand their workflows, drive adoption and identify new opportunities for automation.