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Backend Engineer

Job not on LinkedIn

🕒 September 17

🇧🇬 Bulgaria – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

Where this job comes from

Posted on Sowelo Consulting sp. z o.o. sp. k.'s careers page, not through a job board

First seen by Remote Rocketship September 17

Still open on Sowelo Consulting sp. z o.o. sp. k.'s site. Checked 11 hours ago.

Logo of Sowelo Consulting sp. z o.o. sp. k.

Sowelo Consulting sp. z o.o. sp. k.

11 - 50 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Sowelo Consulting sp. z o. o. sp. k. is a recruitment consulting firm based in Krakow, Poland, established in 2007. It specializes in providing tailored recruitment solutions including Recruitment Process Outsourcing (RPO), Executive Search, and IT Contracting across various sectors such as IT/Telco, Renewable Energy, and Finance. The company offers services like Talent Market Mapping, Recruitment Process Assessment, and Employer Branding to enhance recruitment efficiency and attract potential employees, clients, and investors. With a large database and a focus on strategic recruitment consulting, Sowelo Consulting helps businesses find skilled professionals to enhance their workforce.

📋 Description

• Build and operate scalable backend systems serving AI-powered features in production • Design high-performance inference pipelines and orchestration workflows around machine-learning models • Define clear service boundaries around ML models • Own system health and observability, including performance monitoring, structured logging, alerting, and incident response • Optimize latency and throughput through intelligent caching, request batching, and response streaming • Collaborate with client and machine-learning engineers to deliver stable, high-efficiency APIs for mobile and desktop applications

🎯 Requirements

• Proven background in core backend software engineering within production environments • Experience with Python and Node.js • Infrastructure experience with Docker and Kubernetes • Practical experience building and maintaining high-throughput, low-latency distributed microservices • Solid understanding of modern AI inference patterns, including LLMs, vector embeddings, and multimodal architectures • Hands-on experience debugging and profiling complex distributed systems operating under heavy load • Familiarity with commercial AI APIs such as OpenAI and Anthropic, as well as self-hosted open-source models • Production-focused mindset with a strong bias toward shipping, observing live system behavior, and iterating quickly

🏖️ Benefits

• Significant equity • High compensation flexibility • Fully remote work • Strong ownership and visible impact • Opportunity to work with a small founding team on a greenfield AI email product • Work alongside high-caliber engineers from top tech companies

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