Artificial Intelligence Engineer

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

We are looking for an Artificial Intelligence Engineer on behalf of our client, a leading technology-driven organization in the financial services sector.

The ideal candidate will combine strong software development expertise with hands-on experience in Artificial Intelligence, Generative AI, and Large Language Models (LLMs) and contribute to the development of scalable, production-ready AI solutions. The successful candidate will play a key role in designing, building, and deploying end-to-end AI applications that deliver measurable business value.

Key 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 (Proof of Concept) 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 modern AI-assisted development tools to improve software development efficiency
• Collaborate with cross-functional teams to identify AI-driven opportunities
• Share technical knowledge and contribute to the adoption of emerging technologies across teams
• Ensure AI solutions align with software engineering best practices, security standards, and scalability requirements

Qualifications:

• Bachelor's degree in Computer Engineering or a related engineering or quantitative field
• 5+ years of professional experience in software development, AI, or data-driven applications
• Practical experience with Python and AI-related projects
• Hands-on experience with AI, Generative AI, and Large Language Models (LLMs)
• Knowledge of APIs, system integrations, and software architecture
• Experience working in production environments and deploying AI applications at scale
• Understanding of software development best practices, version control, and CI/CD pipelines
• Understanding of model deployment, monitoring, and MLOps practices
• Knowledge of RAG architectures and prompt engineering techniques
• Familiarity with tools such as Claude, GitHub Copilot, Cursor, or similar AI-assisted development platforms
• Strong problem-solving skills and a proactive, technology-focused mindset

Preferred Qualifications:

• Experience with Retrieval-Augmented Generation (RAG) architectures and vector databases
• Experience with vector database technologies such as Azure AI Search, Pinecone, Weaviate, or ChromaDB
• Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP)
• Experience with OCR, Document AI, intelligent document processing, or unstructured data pipelines
• Familiarity with containerization technologies such as Docker and Kubernetes
• Experience with FastAPI, RESTful services, and microservice architectures
• Knowledge of machine learning, NLP, and modern AI frameworks such as LangChain, LlamaIndex, or similar technologies