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Senior AI Engineer

PHRASE Praha, A, CZ

Senior Full-time

Senior AI Engineer

At Phrase, we help open the door to global business by providing the world's most comprehensive language technology. We're transforming global content operations with our AI-led platform to give people the content they need, in the language they speak. Whether it's for digital products like an app or website, marketing comms, legal literature, internal comms or customer service messaging, Phrase ensures that content always hits its mark by being on brand, consistent, and culturally relevant.

Phrase has been recognized by Forrester analysts as a Leader in language technology and is also highly rated on independent software review site G2. We help the world's biggest brands, including Uber, Shopify, Puma, Snowflake and Volkswagen, engage their customers at scale to accelerate growth. With a global team based in our offices, and remote colleagues across Europe, the UK, the US, and the APAC region, Phrase offers an international environment built on collaboration, innovation, and shared purpose.

Role Overview

Join our Artificial Intelligence team to to productionize AI-powered features for our platform. You will develop and operate scalable back-end services used by thousands of global customers.

You will not be training or researching models yourself. Instead, you will work closely with AI researchers to transform experimental models into reliable, secure, and observable production systems.This role bridges the gap between clean Python coding and modern cloud deployment. You will ensure our suite remains scalable, production-ready, and highly efficient. Work with expert colleagues to build the best localization platform available.

You will own services end-to-end. From implementation and deployment to monitoring and operational excellence.

What you'll be responsible for:

Implement back-end services used by thousands of customers.
Deliver scalable, production-ready code and maintain a clean, high-quality codebase.
Collaborate with AI research, product and platform teams to productionize ML models by designing scalable inference services, integrating them into APIs, and ensuring reliability under real-world load.
Deploy and manage code within cloud environments and own the lifecycle of services.
Write well-tested, performant code and design services for operational excellence.

What you need:

Strong knowledge of Python and proven experience in back-end development.
3+ years of production engineering experience (SRE/DevOps/Platform or back-end) with hands-on Kubernetes experience.
Solid, practical knowledge of Kubernetes, Terraform and Ansible (or close equivalents).
Solid grasp of computer science fundamentals: data structures, algorithms, complexity.
Ability to write clean, testable and maintainable code; focus on performance and observability.
Experience with at least one public cloud provider (AWS preferred) and core cloud services (object storage, compute, networking).
Good communicator: you'll need to work across research, engineering and product teams.

Preferred:

Practical experience running ML/AI infrastructure (model serving, latency-sensitive APIs).
Familiarity with workflow/orchestration tools or serverless patterns used for ML workloads.
Experience with observability stacks (Datadog / Prometheus / Grafana), centralized logging and tracing.
Familiarity with message systems and big-data components (Kafka, Spark, message queues, NoSQL/databases).
Experience with autoscaling tooling and cluster node provisioning (e.g., Karpenter or equivalents) and event-driven scaling (Knative or equivalents).

Our current tech stack in this role:

Languages: Python.
Container & orchestration: Kubernetes (EKS or equivalent), Docker.
Packaging & deployment: Helm, kustomize, GitOps / CI pipelines.
IaC & config management: Terraform, Ansible (or equivalents).
Cloud: AWS.
CI/CD: GitHub Actions
Autoscaling / serverless operators: Knative, Karpenter.
Observability: Datadog & Logz.io*.*
Data & messaging: Apache Spark, RabbitMQ*.*
Workflow / orchestration: Flyte & Weights and Biases.

What you'll get:

Work experience in a successful and growing global SaaS company.
Be part of an international team of 300+ in Europe, APAC, and the Americas.
Expert colleagues in their field who are determined to build the best localization platform on the market, creating a world where language never limits opportunity.
An agile work environment, where it is encouraged to take smart risks.
Take part in a culture full of trust, support and loyalty, where respectful and open feedback is valued, and diversity is fully embraced.
A positive, open-minded, and innovative atmosphere.
Support in your professional development and personal career goals.

What's on top:

4 Company holidays additional to your regular holidays (1 day per quarter where the entire company is off to celebrate our achievements).
In addition, the company also provides employees with a Christmas break to allow you to spend time with family and friends without use of your vacation allocation.
Your birthday is off because it is important to celebrate you as well.
2 Giveback days where you can support the local community, volunteer, and/or participate in charity events and activities.
Professional and extensive onboarding.
Learning & development through Phrase learning.
Additional local benefits depending on the entity you're hired at, just ask your Talent Acquisition Partner.

At Phrase we believe in the critical importance of diversity in all its forms and intersectionalities, and are committed to ensuring that the people we interview reflect this diversity. We therefore strongly encourage people of any identity to apply for our exciting career opportunities. We have taken an active decision to make our work environment inclusive every day, starting at the very beginning of your Phrase experience.

We value and welcome different perspectives, experiences and backgrounds as we believe that these differences make our team even stronger on our mission of opening the door to global business by giving everybody access to the content they need in the language they speak.

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