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Platform Engineer for Enterprise AI Workloads
Summary by AIEngineer.careers
Platform Engineer for Enterprise AI Workloads is a AI Infrastructure Engineer role (full-time). with Enfint. in BERLIN, DE. Compensation shown: $96K–$139K (est.). Imported listing (source: jobborse24.de). Apply on the employer's site (jobborse24.de).
Imported listing (source: jobborse24.de) · Apply on jobborse24.de
BERLIN · DE
$96K–$139K (est.)
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobborse24.de
Enfint is seeking a Platform Engineer to design and operate scalable infrastructure supporting enterprise AI workloads. The role focuses on MLOps practices and infrastructure-as-code to enable ML, LLM, and agentic applications. This position requires strong backend engineering skills applied to the AI/ML domain.
Responsibilities
- Develop and maintain scalable platform architectures for AI workloads
- Implement MLOps pipelines and infrastructure-as-code solutions
- Support operations for ML models, LLMs, and agentic systems
- Ensure platform reliability and performance for enterprise clients
Requirements
- Experience in platform or infrastructure engineering
- Knowledge of MLOps principles and tools
- Proficiency in infrastructure-as-code technologies
- Understanding of ML/LLM workload requirements
Nice to Have
- Experience with agentic AI frameworks
- Background in cloud infrastructure (AWS, GCP, Azure)
- Familiarity with containerization and orchestration (Kubernetes)
Tech Stack
Enfint
Δήμος Λάρνακας · CY · 37+ employees
ENFINT is a software and information-technology company that develops AI- and ML-powered solutions for financial institutions. It combines banking, fintech, IT, and AI expertise to improve operational productivity and support digital transformation, including lending, banking, data, microservices, and machine-learning operations.
