Senior AI Engineer: LLMs, RAG & Production AI Solutions

ManpowerGroup Türkiye; Fatih; On-site; TRY 600,000 - 1,000,000; Full time

Job summary

ManpowerGroup Türkiye is seeking an Artificial Intelligence Engineer for a leading technology-driven financial services firm. You will design, build, and deploy end-to-end AI solutions using Python, LLMs, and modern MLOps practices.

The role emphasizes production-grade systems, API integrations, and scalable architectures with retrieval-augmented generation, vector databases, and enterprise cloud deployments.

Qualifications

• Bachelor's degree in a relevant field.
• 5+ years of professional software development or AI experience.
• Hands-on experience with Python and AI-related projects.
• Experience deploying AI applications at scale in production.

Responsibilities

• Design and develop end-to-end AI-powered software solutions.
• Develop and integrate LLM-based applications into enterprise systems.
• Contribute to AI and R&D projects from PoC to production.
• Work with Python, APIs, and enterprise integrations.
• Support OCR, Document AI, and unstructured data processing use cases.
• Design and implement Retrieval-Augmented Generation (RAG) architectures.
• Develop solutions leveraging vector databases and semantic search technologies.
• Deploy, monitor, and optimize AI applications in production environments.
• Use AI-assisted development tools to improve software development efficiency.
• Collaborate with cross-functional teams to identify AI opportunities.
• Share knowledge and promote emerging technologies across teams.

Skills

Python

AI/LLMs

APIs

CI/CD

MLOps

RAG

Vector databases

Cloud platforms

LangChain / LlamaIndex

Education

Bachelor's degree in Computer Engineering or related field

Tools

Azure AI Search

Pinecone

Weaviate

ChromaDB

Docker

Kubernetes

FastAPI

GitHub Copilot

Job description

ManpowerGroup Türkiye is seeking an Artificial Intelligence Engineer for a leading technology-driven financial services firm. You will design, build, and deploy end-to-end AI solutions using Python, LLMs, and modern MLOps practices.

The role emphasizes production-grade systems, API integrations, and scalable architectures with retrieval-augmented generation, vector databases, and enterprise cloud deployments.