Artificial Intelligence Engineer

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