обновлено 1 месяц назад
Senior Backend Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Backend Engineer (AI): Building and operating scalable backend infrastructure for an AI-driven consulting and internal agent platform with an accent on cloud-native architecture, AI-assisted development, security, and observability. Focus on integrating LLMs and agent frameworks, designing microservices and event-driven services, and building guardrails and evaluation tooling for production-grade AI-generated code.
Location: Croatia; hybrid work from the Rijeka or Zagreb locations for employment contracts. Remote work and flexible working hours are also offered.
Company
delivers consulting services through AI-driven solutions and technology-enabled platforms.
What you will do
- Design, implement, and operate backend architecture for AI-augmented consulting and internal agent platforms.
- Make decisions on microservices, containers, serverless systems, and cloud services across AWS and Azure.
- Integrate open-source backend frameworks, LLM providers, vector stores, orchestration frameworks, and retrieval pipelines.
- Build AI-assisted development guardrails, evaluation harnesses, security checks, and policy controls.
- Implement security, compliance, observability, logging, tracing, metrics, and alerting for production systems.
- Collaborate with product, DevOps, frontend, AI, data science, and consulting teams while mentoring engineers across multiple countries.
Requirements
- 5+ years of experience building and operating large-scale backend systems in AWS and/or Azure cloud environments.
- Strong proficiency in Python and/or a major backend language or framework such as FastAPI, Django, Java/Spring Boot, or Node.js.
- Experience with microservices, RESTful APIs, event-driven and serverless architectures.
- Familiarity with Docker, Kubernetes, Infrastructure as Code, relational and NoSQL databases, and CI/CD pipelines.
- Daily hands-on use of AI-assisted developer tools, including coding agents, AI code review, and AI-driven test generation.
- Experience integrating LLMs, machine learning models, agent frameworks, and evaluation tooling into backend services.
Nice to have
- Production experience with both AWS and Azure.
- Knowledge of SOC 2, ISO 27001, and GDPR requirements.
- Experience in consulting or professional services environments.
- Experience working in distributed teams across multiple time zones.
Culture & Benefits
- Individually tailored benefits package, performance bonus, and competitive compensation.
- Employee stock options grant and employee share purchase plan.
- Flexible working hours, remote work, multi-sport card, and full medical checkup.
- Learning and development budget with growth opportunities.
- Referral and anniversary bonuses, plus work on large client projects using cutting-edge technologies.
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