Senior Python Developer

We're currently searching for a Senior Python Developer who carries substantial, real-world technical expertise to strengthen our engineering team. This position offers exposure to pioneering projects that stretch the limits of contemporary software craftsmanship. You'll work alongside a talented set of colleagues who place equal weight on solid technical delivery and imaginative problem-solving. This opportunity is well-suited to those eager to build lasting, innovative solutions while thriving in an active, quickly evolving team atmosphere.

Define backend API structure and orchestration mechanisms that facilitate integration with large language models Establish and maintain intricate Retrieval-Augmented Generation (RAG) workflows, encompassing document intake, text segmentation, embedding creation, and improved retrieval techniques Craft and integrate agent-oriented tools leveraging frameworks like LangChain and LangGraph, incorporating Model Context Protocol (MCP) when applicable Enforce strict security practices, protect data confidentiality, provide enterprise-caliber monitoring, and ensure thorough test coverage throughout backend systems Play a direct part in guiding architectural choices and shaping technical standards within the engineering group Collaborate with frontend engineers, data engineering personnel, and infrastructure teams to achieve unified, well-coordinated results Three or more years of hands-on backend engineering experience, with particular focus on microservices and distributed systems architecture Demonstrated ability applying Python to develop high-performance backend systems and cloud-native APIs Practical experience creating applications rooted in Generative AI capabilities Applied familiarity with LangChain for constructing language model-powered applications Broad knowledge covering AWS, Docker, container orchestration tools like ECS/EKS, and RESTful API development Strong foundation in secure coding techniques alongside robust authentication and authorization know-how Sufficient English communication ability at B2 level or higher, enabling accurate understanding of business requirements and their conversion into agent-based technical solutions Nice to have Practical experience using agent-focused frameworks such as LangChain, LlamaIndex, or LangGraph Familiarity with Model Context Protocol (MCP) enabling consistent context handling across AI systems Capable of working with frontend tools, especially React and TypeScript Background applying Terraform for infrastructure provisioning and administration Applied knowledge of RAG pipeline elements, including vector database platforms like Amazon Kendra or OpenSearch, plus embedding techniques and retrieval system development Experience either constructing new systems or modernizing existing large-scale, complex technical infrastructures