AI Engineer (Libadiye Office)

About the team:

You will be joining a newly formed and fast-growing team that is dedicated to innovation and excellence. This team leverages the latest technologies and adheres to modern development standards to create state-of-the-art logistics solutions. Designed for global use, our products aim to set new standards in the industry, solving complex challenges with precision and scalability. By joining this forward-thinking team, you will have the opportunity to contribute to a project with a global vision and a strong focus on quality and impact.

About the role:

We are on a mission to accelerate intelligent transformation through cutting-edge AI capabilities. We are seeking a passionate and experienced AI Engineer to join our dynamic team and lead the development of agentic AI systems and machine learning pipelines across enterprise and customer-facing domains.

In this role, you will architect and deploy advanced multi-agent systems—combining LLMs, RAG pipelines, predictive ML models, and human-in-the-loop mechanisms—to deliver scalable, safe, and adaptive automation. You will play a key role in shaping the future of intelligent workflows by integrating state-of-the-art AI/ML tools and collaborating closely with software, data, and security architects to ensure seamless end-to-end solutions.

Position located at: Libadiye Office

This position will be:

As an AI Engineer, you will be responsible for designing and implementing agentic AI and ML-driven automation systems that serve both enterprise operations and customer-facing processes. This includes developing multi-agent architectures, training & deploying ML models, and establishing robust human-in-the-loop mechanisms to ensure reliability, safety, and adaptability.

Key responsibilities include:

• Design & build multi-agent systems with orchestration logic for complex workflows
• Develop ML models (classification, regression, recommendation, clustering) using libraries such as scikit-learn, XGBoost, LightGBM, and HuggingFace Transformers
• Integrate ML and LLM outputs via RAG pipelines, semantic search, vector search, and agent memory architectures
• Implement feature engineering, data preprocessing, and missing data handling strategies to ensure model robustness
• Build and optimize end-to-end MLOps pipelines on cloud platforms (AWS, Azure, GCP) using MLflow, Kubeflow, Docker, and Kubernetes
• Develop and maintain agentic workflows using CrewAI, LangGraph, LangChain, N8N, and integrate with APIs, databases, and AI-powered tools
• Fine-tune LLMs and ML models using embedding strategies, hyperparameter optimization, and quantization/distillation techniques
• Apply model evaluation metrics (accuracy, precision, recall, F1, ROC-AUC, MSE) to track performance and detect drift
• Implement and monitor guardrails, reflection loops, output verification, and bias/fairness checks for AI/ML outputs
• Collaborate with cross-functional teams to align AI/ML solutions with business goals and operational constraints

How do we describe the perfect match?

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• 5+ years of experience in AI, machine learning, and/or software engineering, with proven delivery of production-grade AI/ML systems
• Strong expertise in agentic AI, LLM systems, RAG pipelines, and ML model development.
• Hands-on experience with CrewAI, N8N, LangChain, LangGraph, LangFlow, LangSmith, OpenAI API and AWS services (Lambda, S3, API Gateway, ECR)
• Proficiency in Python (pandas, NumPy, scikit-learn, SciPy, XGBoost) and SQL for data manipulation, analysis, and feature engineering
• Experience with vector databases (Pinecone, Weaviate, Chroma, Qdrant) and semantic search
• Background in predictive modeling, statistics, and ML evaluation metrics (precision, recall, F1, ROC-AUC, MSE)
• Experience building MLOps pipelines using MLflow, Kubeflow, or SageMaker; deploying to containerized environments (Docker, Kubernetes, OpenShift)
• Familiarity with AI-assisted development tools (Cursor, GitHub Copilot) in daily workflows.
• Ability to communicate AI/ML concepts clearly to both technical and non-technical audiences
• Strong problem-solving skills, analytical thinking, and a data-driven mindset
• Proficient communication skills in English

Benefits Of Working With Us

In addition to having the opportunity to grow and be challenged, and to be part of a life, our people enjoy a range of rewarding benefits:

• Flexible working arrangements, generous personal, parental and cultural leave
• Competitive remuneration
• Free and subsidized health and wellbeing services
• Discounts on a wide range of products and services
• Career development opportunities
• A buddy who will guide and accompany you during your onboarding process
• A great number of online courses and technical trainings that will support your development
• Personalized development plan for you
• Using CED & Pass Flight for travelling experience with your family
• Support payment for childcare

Be Yourself

We value the unique backgrounds, experiences and contributions that each person brings to our team and encourage and celebrate diversity.

If you would like to get to know more about Turkish Airlines Technology, please follow us on Instagram and LinkedIn;

https://www.instagram.com/turkishairlinstechnology/

https://www.linkedin.com/company/thyteknoloji/