Software Engineer

The objective of this project is to enhance the customer experience by developing an AI-powered Product Advisor that helps customers identify the most suitable products based on their individual needs. The solution leverages Generative AI and intelligent agent capabilities to guide customers seamlessly through the entire sales journey, from product discovery and consultation to contract completion on the website. As part of a cross-functional product team, you will contribute to the design, development, testing, and production rollout of a Generative AI-based customer advisory solution. The application will provide personalized product recommendations and support customers throughout the end-to-end sales process across digital channels., LangGraph LangFuse DeepEval / G-Eval OpenAI APIs AI observability and monitoring solutions Vector databases (PgVector) Redis Docker Kubernetes CI/CD Pipelines Cloud platforms (preferably Azure)

Strong expertise in Python Experience designing production-grade REST APIs with FastAPI Solid software engineering fundamentals, clean code principles, and design patterns Experience with testing frameworks and automation Practical experience building LLM-powered applications Strong understanding of: Prompt Engineering Function Calling / Tool Calling Agentic AI Systems Multi-Agent Architectures Context Management Memory Systems Structured Outputs Prompt Engineering Function Calling / Tool Calling Agentic AI Systems Multi-Agent Architectures Context Management Memory Systems Structured Outputs Hands-on experience designing and implementing RAG solutions Understanding of embeddings, vector databases, ranking, retrieval optimization, and hybrid search Experience with Azure AI Search or similar search platforms