Senior AI Engineer: Enterprise AI & LLM Solutions

Eti; Fatih; On-site; TRY 400,000 - 700,000; Full time

Job summary

Eti is seeking a Senior Artificial Intelligence Engineer to design, develop, and implement enterprise AI solutions across multiple business functions. The role focuses on using LLMs, agents, RAG, and AI orchestration to create measurable business value within Sales, Manufacturing, and Supply Chain contexts.

Candidates should have strong Python/SQL skills, experience with Azure OpenAI and Microsoft Fabric, and a track record of production-ready AI deployments.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Industrial Engineering, Mathematics, Statistics, or a related field.
• A master's degree is considered an advantage.
• Strong programming skills in Python and SQL.

Responsibilities

• Collaborate with stakeholders to identify AI use cases and deliver AI solutions with measurable business value.
• Design, develop, test, and deploy enterprise AI solutions including AI agents, copilots, and RAG applications.
• Develop AI solutions using enterprise docs, databases, APIs, vector databases, and enterprise knowledge repositories.
• Design and implement AI applications leveraging Microsoft Fabric, Azure AI ecosystem, and enterprise platforms.
• Develop and optimize LLM applications, agentic AI, prompt engineering, and AI orchestration workflows.
• Integrate AI with ERP, MES, CRM, SCM, and other enterprise platforms.
• Ensure compliance with Responsible AI, cybersecurity, governance, and data privacy.

Skills

Python

SQL

LLMs

RAG

Azure AI

REST APIs

Vector databases

Machine Learning

AI engineering

ERP integration

Education

Bachelor's degree in CS/SE/Industrial Eng/Math/Stats

Master's degree advantageous

Tools

Microsoft Fabric

Azure OpenAI

API integration tools

Job description

Eti is seeking a Senior Artificial Intelligence Engineer to design, develop, and implement enterprise AI solutions across multiple business functions. The role focuses on using LLMs, agents, RAG, and AI orchestration to create measurable business value within Sales, Manufacturing, and Supply Chain contexts.

Candidates should have strong Python/SQL skills, experience with Azure OpenAI and Microsoft Fabric, and a track record of production-ready AI deployments.