À propos de ce poste AI Engineer chez Oxylabs
Oxylabs · Hybride · Vilnius
We’re a team of 500+ professionals who develop cutting-edge proxy and web data scraping solutions for thousands of the world’s best known businesses, including Fortune 500 companies.
What’s in store for you:
You’ll be solving complex challenges and maintaining our own infrastructure with 60PB+ monthly data traffic. Here are its scale and maturity in numbers:
- 6PB+ Ceph storage
- 60PB+ monthly data traffic through our systems
- 300k+ service requests/sec processed
- 500k+ Kafka messages/sec streamed
The team waiting for you:
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.
In this role, you will:
- 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.
Your skills & experiences:
- 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.
Nice to Have:
- 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.
Tech stack:
Salary & Benefits:
Up for the challenge? Let’s talk!
Up for the challenge? Let’s talk!
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