AI Architect
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Before you apply
LocationIstanbul, İstanbul, Turkey
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentTHY
Company size4+ people
PostedAug 24, 2026 · 2mo ago
Verified live20h ago
At a glanceSummarised by Seekless from the posting.
Minimum 5 years of professional experience in AI, Machine Learning, Software Engineering, Data Engineering, or related technical roles
Hands-on experience with Large Language Models (LLMs) and Generative AI applications, including deploying solutions to production environments
Experience deploying and serving LLMs in cloud, private cloud, or on-premise environments
Understanding how to design scalable AI applications that handle increasing user traffic and maintain acceptable response times
Basic understanding of GPU-based LLM inference, including GPU memory usage, latency, throughput, and concurrency
Familiarity with LLM inference optimization techniques such as quantization, batching, caching, and model selection
Experience with open-source models and at least one LLM serving technology, such as Hugging Face, vLLM, NVIDIA Triton, or a comparable framework
Familiarity with Docker and container orchestration technologies such as Kubernetes or OpenShift
Practical experience building RAG-based applications, including document processing, embeddings, vector search, and retrieval quality improvement
Understanding of model selection and routing techniques for choosing the appropriate model for different tasks
Experience developing AI workflows using agents, tool calling, or integration with external systems
Good Python programming skills and familiarity with software engineering practices, including API development, testing, Git, and CI/CD
Strong analytical and problem-solving skills, with the ability to evaluate technical alternatives and contribute to production-ready AI solutions
Skills
Large Language Models (LLMs)
Generative AI
Hugging Face
vLLM
NVIDIA Triton
Docker
Kubernetes
OpenShift
Python
Git
CI/CD
RAG
GPU
Benefits
Health insurance
Professional certification paid
Online training access
Birthday leave
🚀 Exciting Career Opportunity in AI!
Join one of Türkiye’s largest and most prestigious aviation companies as an AI Architect and help shape the future of AI in aviation! ✈️
Read more: https://medium.com/@oredata-engineering
Apply and be part of our exciting journey!
Requirements
•
Minimum 5 years of professional experience in AI, Machine Learning, Software Engineering, Data Engineering, or related technical roles.
•
Good hands-on experience with Large Language Models (LLMs) and Generative AI applications, including deploying solutions to production environments.
•
Experience deploying and serving LLMs in cloud, private cloud, or on-premise environments.
•
Understanding of how to design scalable AI applications that handle increasing user traffic and maintain acceptable response times.
•
Basic understanding of GPU-based LLM inference, including GPU memory usage, latency, throughput, and concurrency.
•
Familiarity with LLM inference optimization techniques such as quantization, batching, caching, and model selection.
•
Experience with open-source models and at least one LLM serving technology, such as Hugging Face, vLLM, NVIDIA Triton, or a comparable framework.
•
Familiarity with Docker and container orchestration technologies such as Kubernetes or OpenShift.
•
Practical experience building RAG-based applications, including document processing, embeddings, vector search, and retrieval quality improvement.
•
Understanding of model selection and routing techniques for choosing the appropriate model for different tasks.
•
Experience developing AI workflows using agents, tool calling, or integration with external systems.
•
Good Python programming skills and familiarity with software engineering practices, including API development, testing, Git, and CI/CD.
•
Strong analytical and problem-solving skills, with the ability to evaluate technical alternatives and contribute to production-ready AI solutions.
Get to know us
If you want to know more about us and what we do, then visit our website: www.oredata.com
Why Oredata?
•
Open communication, flexibility and start-up spirit
•
Learning & Development opportunities for both personal and professional growth
•
Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc)
•
Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.)
•
Dynamic work ecosystem where you can take initiative and responsibility
•
Opportunity to work on international projects
•
Private Health Insurance
•
Birthday Leave Policy
Legal
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