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Preply is a unicorn edtech platform (Series D, $150M) that connects 100,000+ tutors teaching 90+ languages to learners in 180 countries. The Platform Tribe builds and operates the infrastructure that powers Preply's engineering and serves millions of learners and tutors daily, handling over 20 billion requests per month.
As a Senior Platform Software Engineer in the R&D Automation team, you'll design and build AI agents and agentic systems that transform how software is developed at Preply. This is a hands-on role combining strong backend engineering with practical AI expertise.
Key responsibilities:
- Design and build AI agents and their harnesses using Python, focusing on agentic software development that automates and augments workflows across the entire software development lifecycle.
- Create reusable agent capabilities, tools and integrations that connect AI systems with Preply's engineering ecosystem, codebases, and internal knowledge.
- Develop agentic workflows across Engineering, Product, Design and Data teams, including coding, testing, code review, and broader SDLC automation.
- Rapidly prototype and experiment with new AI capabilities, taking ideas from proof of concept through validation to scalable adoption.
- Design context, orchestration and verification mechanisms that enable reliable, safe agentic workflows with appropriate human-in-the-loop controls.
- Measure agent usage and value creation using data and feedback to continuously improve systems.
- Make thoughtful decisions about where AI adds value versus where human judgment remains essential, and how the two should work together.
- Collaborate closely with engineers, designers, product and data teams to understand workflows, drive adoption and identify new automation opportunities.
You'll work in small teams with significant ownership, having real say in architecture, technical decisions and platform evolution. The role offers exposure to diverse technical challenges across the stack.
REQUIREMENTS:
- Approximately 8 years of experience 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.
- Proven ability to take new technical ideas from experimentation or proof of concept into robust, scalable solutions.
- Strong experimentation mindset: comfortable with ambiguity, iterating quickly and using data and feedback to determine what works.
- Good understanding of distributed systems and backend architecture required to operate AI-powered systems reliably.
- Strong product thinking with ability to understand user workflows and connect technical solutions to measurable outcomes.
- Strong communication skills with minimum C1 English level.
