1mo ago

AI Engineer

Lithuania·VilniusFull Timemid

Machine Learning EngineerData

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Quick Summary

Overview

Enterprise-grade web data infrastructure, purpose-built for organizations operating at global scale.

Technical Tools

Machine Learning EngineerData

Enterprise-grade web data infrastructure, purpose-built for organizations operating at global scale. It helped define what public web data access could look like and still sets the standard others build against.
That same ambition runs through the culture: engineers take ownership of problems no one else has solved and push each other to raise the bar.

The AI Integrations squad builds critical and quality-of-life AI services that support a wider team of 60 developers. As an AI Engineer, you will take full ownership of problem statements - from initial design to final production - building solutions that tangibly improve our teams' daily productivity. We are currently shifting gears from maintaining our initial successful services to creating bigger, more impactful internal tools. The core challenge is navigating fast-changing AI tooling to create pragmatic, functional, and highly observable solutions that developers actively adopt.

Maintain and optimize our existing AI services, ensuring high observability and reliability.
Investigate, design, and implement new internal AI services aimed at increasing developer productivity.
Take end-to-end ownership of your services' lifecycles, managing resources, Docker containers, and CI/CD deployments.
Partner directly with other squads to understand their bottlenecks and build tailored, AI-based solutions.
Upgrade our incident context-gathering service to automatically determine the correct rotation to call during incidents.
Develop automations and plugins for Spotify Backstage to make our internal documentation platform more effective.

Solid production experience coding in Python or Go.
Hands-on experience with AI integrations, including working with APIs, prompt engineering, and hybrid deterministic/AI logic.
Proven ability to take full service ownership, independently managing deployments and CI/CD pipelines.
Experience implementing comprehensive observability for your services using metrics, logging, and SLIs.
A proactive and pragmatic mindset, comfortable engaging directly with developers and adapting to fast-changing AI tooling.

Experience in DevEx (Developer Experience) tool development.
Familiarity with incident platform integrations (e.g., incident.io).
Previous experience building plugins for Spotify Backstage.
Experience with self-hosted model deployments.

Python

Kubernetes

ArgoCD

Docker

GitLab

Ansible

Terraform

Vault

Prometheus

ELK

Gross salary: 2800 - 5600 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies.

Growth & Learning: 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing.

Health & Well-being: Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app.

Celebration & Community: Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together.

Up for the challenge? Let’s talk!

Oxylabs is part of Source, a data ecosystem for a world built on intelligence. One of five independent technology companies connected by shared standards, expertise, and a belief in responsible access to web data.

Up for the challenge? Let’s talk!