ML Platform Engineer (GenAI Platform)

Preply; Barcelona; On-site; EUR 75,000 - 130,000; Full time

Benefits offered by this job

Relocation package to Barcelona Hub

Health insurance

Learning & development budget

Job summary

Preply is seeking a Senior ML Platform Engineer to design and scale GenAI infrastructure. You will shape platform evolution, implement automated routing, guardrails, and cost controls across model vendors. This is a hands-on, senior role with broad technical influence across ML, data, security, and product teams.

You will collaborate with ML Platform, Data, and Engineering teams to deliver reliable, scalable GenAI capabilities, supporting global learning experiences for tutors and learners alike.

Qualifications

• 5+ years designing, building, and operating backend services or ML infra.
• Strong Python skills and API/SDK development experience.
• Hands-on with GenAI systems, vector retrieval, and external APIs.
• Knowledge of distributed systems, caching, and high availability.
• Experience with at least one major public cloud (preferably AWS).
• English at C1 level and willingness to join paid on-call rotation.

Responsibilities

• Design and build the systems behind production GenAI workloads.
• Drive the expansion of GenAI Platform with self-service capabilities.
• Write production code and shape platform abstractions and standards.
• Establish observability, tracing, cost analytics and alerting across lifecycles.
• Standardize prompt engineering, testing, governance, and CI/CD for delivery.

Skills

Python

GenAI systems

Distributed systems

Cloud (AWS)

APIs/SDKs

Tools

Metaflow

Databricks

AWS SageMaker

Job description

Описание

We power people’s progress. 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 vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.

Meet the team!

The GenAI Platform team sits within Platform Engineering. We build the shared infrastructure that helps product teams develop, evaluate, deploy and operate GenAI safely at scale. Our scope includes the GenAI gateway, model and prompt lifecycle, evaluation, observability, cost controls and guardrails. We work closely with ML Platform, which supports core machine learning workflows, and Agentic Platform, which provides agent orchestration, state management and tool integration. Together, we give product teams a consistent foundation for user-facing AI experiences and autonomous agents. We work in small teams with significant ownership, empowering you to directly shape system architecture, technical direction, and platform evolution. Learn more through our Engineering Blog, Tech Radar, and YouTube channel.

Benefits

• An open, collaborative, dynamic, and diverse culture;
• A generous monthly allowance for lessons on Preply.com, Learning & Development budget, and time off for your self-development;
• A competitive financial package with equity, leave allowance and health insurance;
• Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub Access to free mental health support platforms;
• Access to Gympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health;
• The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).

Our Principles

Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.

Задачи

GenAI is central to Preply's product strategy. As a Senior ML Platform Engineer, you'll design and build the systems behind production GenAI workloads. You will drive the expansion of our GenAI Platform, and turn recurring engineering needs into reliable self-service capabilities. This is a hands‑on senior role with broad technical influence. You'll write production code, shape platform abstractions and operational standards, and partner with Applied Science, Data, Product, Security and Engineering teams. Architect unified gateway with automated routing, quota controls, and resilient fallback systems across model vendors. Drive system efficiency and low latency via dynamic traffic management, response caching, token budgeting, and cost allocation controls. Establish robust evaluation mechanisms to guarantee high precision, stability, and safety in model outputs. Deliver system observability, providing deep tracing, performance telemetry, cost analytics, continuous monitoring, and alerting across GenAI lifecycles. Standardize prompt engineering workflows with automated versioning, automated testing, governance, and CI/CD integrations for production delivery. Embed platform guardrails alongside Security and Privacy experts to enforce policies, and safe production defaults automatically. Maintain sustainable incident response, blameless postmortems, and comprehensive monitoring for GenAI stacks.

Требования

• Proven track record (5+ years) designing, building and operating backend services or ML infrastructure handling production traffic.
• Strong Python skills and experience building developer-facing APIs/SDKs or shared libraries Practical experience with GenAI systems, including vector retrieval, external provider APIs, and common issues.
• AI Expertise: You're a forefront user of Agentic AI. You're able to bring hands‑on experience and start influencing the team beyond code generation; reserving judgment for architecture, business logic, and security, using AI as a thought partner and being able to set up quality gates and safety nets to enhance existing engineering workflows and propose AI‑native alternatives.
• Sound knowledge of distributed systems, including high availability, concurrency, caching and rate limiting.
• Experience with at least one major public cloud, its services and infrastructure (preferably AWS).
• Hands‑on experience with distributed tracing, system telemetry, SLOs, and incident triage.
• Strong communication skills and at least C1 English level, plus willingness to join a paid on‑call rotation.
• Experience operating AI gateways or scalable model serving infrastructure.
• Familiarity with evaluation suites, prompt management, vector databases, or customized GenAI observability tooling.
• Experience with Metaflow, Databricks, or AWS SageMaker.
• Knowledge of hosting open-source foundation models, optimizing GPU compute, dynamic scaling, and infrastructure cost controls.
• Familiarity with agentic workflows, multi‑agent frameworks and tool‑use patterns.