3 дня назад
AI Platform Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Platform Engineer (LLM/Cloud Infrastructure): Building shared production infrastructure for LLM access, MCP tooling, knowledge retrieval, agent execution, observability, evaluation, and automation with an accent on secure platform services and distributed systems. Focus on designing model gateways, managed MCP infrastructure, production agent runtimes, and end-to-end cloud-native operations.
Location: Onsite in Limassol, Cyprus. Full relocation and visa support is provided for the candidate and family.
Company
Independent game studio developing and growing the Total Battle strategy game with a team of 230 professionals.
What you will do
- Build and operate AI infrastructure for model access, provider abstraction, identity, credentials, quotas, fallback, usage tracking, and cost visibility.
- Develop managed MCP infrastructure with tool-level access control, credentials, auditability, and self-service onboarding.
- Design runtime and orchestration capabilities for production AI agents covering retrieval, log analysis, code execution, and workflow automation.
- Build observability, evaluation, and security guardrails for AI workloads.
- Partner with engineering and product teams to turn AI use cases into reusable platform capabilities.
- Own architecture, implementation, infrastructure, deployment, observability, and production support end to end.
Requirements
- 5+ years of experience delivering production backend, infrastructure, or platform services.
- Degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
- Strong understanding of service and API design, distributed systems, and data flows.
- Experience with GCP, AWS, or Azure and Kubernetes.
- Hands-on experience with CI/CD, observability, reliability, production operations, authentication, authorization, secrets management, and secure service design.
- Ability to resolve ambiguous problems, make architectural trade-offs, and deliver production solutions end to end.
Nice to have
- Production experience with LLM applications, agentic systems, or RAG.
- Experience with MCP, model gateways, LLM observability, or evaluation frameworks.
- Experience with vector databases, semantic search, embeddings, internal developer platforms, or self-service infrastructure.
- Experience with Python backend frameworks such as FastAPI and cloud-native tooling such as Helm or Kubernetes operators.
Culture & Benefits
- Office-first work environment in a modern seaside workspace in Limassol.
- Full relocation and visa support for the employee and family.
- Private family health insurance and education allowances for children.
- Competitive compensation, a 13th-month payment, performance bonuses, and additional life-event and long-service rewards.
- Training, certifications, language courses, and books are supported.
- Flat structure, collective decision-making, transparent feedback, and daily lunch.
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