AI Architect
Summary
Build and improve LLM-based and RAG solutions for aviation-focused chatbots and conversational AI, working with embeddings, vector search, and prompt engineering.
🚀 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! ✈️
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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:
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 bağlantısı üzerinden ulaşabilirsiniz.
Skills
As published by workable · 4 questions · 3 written answers
Basics
First name, Last name, Email, Phone, Address, Photo, Education, Experience, Resume, Cover letter
Short answers (1)
- How many years of hands-on experience do you have in data science, machine learning, artificial intelligence, data engineering, software development, or similar technical roles?
Written answers (3)
- Could you share some examples of RAG-based applications you've worked on? What was your role, and which techniques (such as embeddings, vector search, document retrieval, chunking, prompt engineering, or LLM evaluation) did you use?
- Can you describe a time when you evaluated an AI solution from an architectural standpoint and were also involved in its implementation? What challenges did you face and how did you address them?
- What experience do you have working on chatbot, conversational AI, knowledge assistant, search, recommendation, or similar AI-enabled products? Could you tell us about a project and your contributions?