AI Architect
At a glance
Mid-level AI Engineering role at Oredata Yazılım Anonim Şirketi. Istanbul · full-time.
Pay not stated AI Architect salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and launch LLM and generative AI solutions, taking them through to production
- Deploy and serve LLMs in cloud, private-cloud or on-premise setups
- Design AI applications to handle growing traffic while keeping response times acceptable
- Develop RAG applications covering document processing, embeddings, vector search and retrieval quality
- Create AI workflows with agents, tool calls and external-system integrations
What you bring
- At least five years in AI, machine learning, software or data engineering, or a related technical role
- Hands-on work with LLMs and generative AI, including production deployments and open-source models
- Experience with an LLM serving framework, plus Docker and an orchestration tool such as Kubernetes
- Practical RAG development, Python skills, and familiarity with APIs, testing, Git and CI/CD
Who this fits
This mid-level, full-time role is based onsite in Istanbul. It suits someone with production AI experience who can work across LLM deployment, RAG applications and AI workflow development.
From the employer
🚀 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
Kişisel verileriniz işe alım sürecinin yürütülebilmesi amacıyla veri sorumlusu sıfatıyla şirketimiz Oredata Yazılım A.Ş. tarafından işlenecektir. Kişisel verilerinizin işlenmesi ve haklarınızla ilgili detaylı bilgiye https://oredata.com/personal-data-protection-policy/ bağlantısı üzerinden ulaşabilirsiniz.