AI Engineer
AI Engineer role at Energize Global Services to build AI solutions for fintech, focusing on LLM apps with RAG and Azure services.
With 15+ years of experience in IT, global partners and clients, Energize Global Services (EGS) is a solid, leading-edge Technology Company focused on delivering software services and products for the Banking and Financial Management Industry. We are specialized in developing Banking Systems, all types of payment solutions and other large applications. Over the years EGS proved to be a reliable and trusted partner for the biggest player in the Financial technology industry.
Join our team in Yerevan, elevate your career to a new level by becoming part of a team that is shaping the future of Fintech. We are hiring a hands-on AI Developer to build intelligent, production-ready AI solutions across a variety of domains — from document processing and data extraction to conversational AI and automated report generation. You will work directly with clients and internal teams to deliver high-quality AI-powered applications. 3–6 years of software development experience with 2+ years focused on AI/GenAI solutions.
Strong Python development skills; experience building APIs with FastAPI. Hands-on experience with LangChain and LangGraph for building LLM-powered applications. Practical experience with RAG (Retrieval-Augmented Generation) architectures and vector/semantic search. Familiarity with Azure Document Intelligence and Azure AI Search. Experience with Microsoft Foundry or similar AI development platforms. Solid understanding of REST APIs, Swagger/OpenAPI documentation, and JSON data handling.
Ability to communicate effectively with clients and articulate technical concepts clearly. Nice to Have Experience with structured/unstructured data extraction projects (invoices, contracts, reports, tables). Exposure to document generation pipelines using AI. Familiarity with LangSmith for observability, tracing, and evaluation of LLM applications. Experience working in Agile/Scrum delivery environments.
Key Responsibilities Develop and deploy AI solutions including RAG systems, chatbots, document intelligence pipelines, and structured data extraction workflows. Build backend services and APIs using Python and FastAPI, with well-documented Swagger/OpenAPI specifications. Implement LangChain and LangGraph-based agentic workflows; instrument and evaluate them using LangSmith. Integrate Azure services — Azure Document Intelligence, Azure AI Search, and Azure-hosted LLMs — into production pipelines.
Work with Microsoft Foundry for AI application development and deployment. Interact with clients to understand requirements, provide updates, and participate in solution walkthroughs and demos. Write clean, maintainable, and well-tested code; participate in code reviews. Troubleshoot, optimize, and continuously improve deployed AI solutions.