Senior Python Developer

We are looking for a Senior Python Developer with deep hands-on expertise to join our team. This role offers the chance to work on innovative projects that push the boundaries of modern software engineering. You'll collaborate with a talented group of professionals who value technical excellence and creative problem-solving. If you're passionate about building robust, forward-thinking solutions and want to grow alongside a dynamic team, this opportunity is for you.

Responsibilities

• Architect and develop backend API services along with orchestration layers that support large language model integration
• Build and sustain sophisticated Retrieval-Augmented Generation (RAG) pipelines, covering document intake, content chunking, embedding generation, and optimized retrieval performance
• Create and link agent-based tools utilizing frameworks such as LangChain and LangGraph, with potential application of Model Context Protocol (MCP) where relevant
• Guarantee robust security measures, data privacy, enterprise-level monitoring, and comprehensive test coverage across all backend processes
• Play an active role in shaping architectural choices and defining engineering standards within the team
• Work closely with frontend developers, data engineering teams, and infrastructure specialists to ensure cohesive delivery

Requirements

• Minimum of three years of practical backend engineering experience, with a focus on microservices and distributed system design
• Demonstrated skill using Python to build high-performance backend services and cloud-native API solutions
• Background developing applications powered by Generative AI technology
• Practical experience working with LangChain for building language model-driven applications
• Working knowledge of AWS, Docker, container orchestration platforms like ECS/EKS, and RESTful API design
• Solid understanding of secure coding methods along with strong fundamentals in authentication and authorization
• Adequate communication skills with English fluency at B2 level or above, enabling clear understanding of business needs and their translation into agent-based technical architectures

Nice to have

• Direct experience working with agentic frameworks such as LangChain, LlamaIndex, or LangGraph
• Familiarity with Model Context Protocol (MCP) for standardizing context sharing between AI systems
• Comfort working with frontend technologies, particularly React and TypeScript
• Experience using Terraform for infrastructure provisioning and management
• Practical background with RAG pipeline components, including vector databases like Amazon Kendra or OpenSearch, along with embedding techniques and retrieval system design
• Track record of constructing or modernizing large-scale, complex technical systems