AI & LLM Engineer — Full-Stack AI Innovator

TEB; Fatih; On-site; TRY 167,000 - 257,000; Full time

Job summary

TEB is seeking a talented AI/LLM Engineer with 1–2 years of hands-on experience to join our team and help build AI-powered features across our projects. You will work on integrating LLMs into existing architectures and contribute to product discovery and delivery.

Strong focus on UI and backend collaboration, experience with vector databases, Python, and model deployment. You will design, develop, and optimize RAG pipelines, embeddings, indexing, and prompt strategies while staying abreast of

Qualifications

• 1–2 years of hands-on AI/LLM development experience.
• Bachelor’s or Master’s degree in Artificial Intelligence Engineering or Computer Engineering.
• Proficient in Python.
• Experience with vector databases and embeddings.
• Experience designing and evaluating RAG systems.
• Good communication and team-oriented mindset.

Responsibilities

• Design, develop, and deploy AI/LLM-powered features for new projects.
• Build, optimize, and maintain RAG pipelines connecting LLMs with data sources.
• Integrate AI models into front-end (UI) and back-end systems.
• Collaborate with cross-functional teams to define project requirements.
• Optimize model performance, prompts, and data pipelines.
• Implement and manage data chunking, embeddings, and indexing for semantic search.
• Stay up-to-date with advances in AI, LLMs, and software engineering practices.

Skills

AI development

LLM development

UI development

Backend development

Python

LangChain

Langgraph

Vector databases

Education

Bachelor’s or Master’s in Artificial Intelligence Engineering

Bachelor’s or Master’s in Computer Engineering

Tools

Pinecone

Qdrant

Milvus

Chroma

pgvector

Job description

TEB is seeking a talented AI/LLM Engineer with 1–2 years of hands-on experience to join our team and help build AI-powered features across our projects. You will work on integrating LLMs into existing architectures and contribute to product discovery and delivery.

Strong focus on UI and backend collaboration, experience with vector databases, Python, and model deployment. You will design, develop, and optimize RAG pipelines, embeddings, indexing, and prompt strategies while staying abreast of