Senior AI Platform Engineer – Real-Time LLM (Hybrid)

Aras Kargo

Beykoz

On-site

TRY 600,000 - 1,200,000

Full time

46 hours ago
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Benefits offered by this job

Hybrid working
Birthday leave
Meal card
Health insurance

Job summary

Aras Kargo is seeking a Senior AI Platform Engineer to own the architecture behind our LLM-powered services and backend platform. You will drive real-time streaming systems, ensure architectural discipline, and mentor mid-level engineers while partnering with a senior developer.

The role focuses on Python backends, vector search, cloud services, and event-driven designs to move operations toward real-time capabilities across logistics platforms.

Qualifications

  • 5+ years building production backend systems in Python (FastAPI or comparable).
  • Hands-on experience shipping LLM/RAG systems and vector search.
  • Cloud-based architectures and DevOps coordination at infra level.
  • Experience with MongoDB and/or PostgreSQL; Redis for caching/queues.
  • Designing event-driven services with Kafka (producers/consumers).
  • Proven track record of introducing automated testing and CI/CD gates; mentoring.

Responsibilities

  • Own LLM-powered chat and retrieval-augmented generation services.
  • Maintain architectural consistency across backend services.
  • Implement automated testing and enforce code quality standards.
  • Integrate cloud identity, secrets, and storage services with DevOps.
  • Mentor mid-level engineers and pair with senior developers.
  • Move internal tools to real-time, event-driven streaming.

Skills

Python
LLM systems
Mentoring
Event-driven design
Cloud & DevOps

Tools

MongoDB
PostgreSQL
Redis
Kafka
Docker

Job description

Aras Kargo is seeking a Senior AI Platform Engineer to own the architecture behind our LLM-powered services and backend platform. You will drive real-time streaming systems, ensure architectural discipline, and mentor mid-level engineers while partnering with a senior developer.

The role focuses on Python backends, vector search, cloud services, and event-driven designs to move operations toward real-time capabilities across logistics platforms.

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