Artificial Intelligence Engineer İş İlanı

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 Strong hands-on software development background Practical experience with Python and AI-related projects Hands-on experience with AI, Generative AI, and Large Language Models (LLMs) Experience developing real-world, production-level AI applications 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