Lead Python Developer

We're seeking a Lead Python Developer bringing substantial, practical experience to strengthen our engineering team. This position provides an opportunity to contribute to cutting-edge initiatives that advance the frontiers of contemporary software development. You'll partner with a skilled team of individuals who prioritize strong technical execution alongside inventive approaches to problem-solving.

For those enthusiastic about crafting resilient, future-ready systems and eager to advance within an energetic team environment, this is a fitting opportunity.

Responsibilities

• Design backend API infrastructure and orchestration frameworks that enable integration with large language models
• Develop and maintain advanced Retrieval-Augmented Generation (RAG) workflows, spanning document processing, text segmentation, embedding creation, and refined retrieval mechanisms
• Construct and interconnect agent-driven tooling through frameworks like LangChain and LangGraph, incorporating Model Context Protocol (MCP) as appropriate
• Uphold strong security protocols, data confidentiality, enterprise-grade system visibility, and thorough testing across backend operations
• Take an active part in influencing architectural direction and establishing technical standards across the engineering group
• Partner with frontend engineers, data engineering colleagues, and infrastructure teams to deliver unified, well-integrated solutions

Requirements

• At least five years of hands-on backend engineering work centered on microservices architecture and distributed system principles
• A year or more spent overseeing and directing development teams
• Proven capability using Python to construct high-performance backend systems and cloud-native APIs
• Experience building solutions leveraging Generative AI capabilities
• Applied know-how using LangChain to develop language model-based applications
• Familiarity with AWS, Docker, container management platforms including ECS/EKS, and designing RESTful APIs
• Strong grounding in secure coding approaches paired with solid authentication and authorization expertise
• Sufficient communication ability with English proficiency at B2 level or higher, supporting accurate interpretation of business requirements and their conversion into agent-driven technical designs

Nice to have

• Practical exposure to agent-oriented frameworks including LangChain, LlamaIndex, or LangGraph
• Understanding of Model Context Protocol (MCP) for enabling consistent context exchange across AI systems
• Ease working with frontend tools, specifically React and TypeScript
• Background applying Terraform for managing and provisioning infrastructure
• Hands-on familiarity with RAG pipeline elements, such as vector databases like Amazon Kendra or OpenSearch, plus embedding methods and retrieval system architecture
• History of building new or modernizing existing large-scale, intricate technical systems