Lead Backend Developer

Description

Summary: Lead Backend Developer to design, implement, and own secure, scalable AI-driven API services with LLM orchestration, focusing on reliability and engineering standards. Highlights: 1. Lead backend development for AI-driven API services 2. Engineer LLM orchestration and distributed systems 3. Own API contracts, reliability, and architectural decisions We are building secure, scalable AI\-driven API services in our AI Pods team, using LLM orchestration to connect language models with internal systems and tools. As a **Lead Backend Developer**, you will own API contracts and reliability while engineering evaluation, observability, fallbacks, and cost\-aware patterns for distributed services. Join us and apply now. **Responsibilities** * Design and implement backend API services paired with LLM orchestration layers * Build and maintain advanced RAG pipelines including document ingestion, chunking, embedding, and retrieval tuning * Develop and integrate agent tools with LangChain, LangGraph and potentially MCP (Model Context Protocol) * Enforce security, privacy, enterprise\-grade observability, and test coverage across backend workflows * Lead architecture decisions and uphold engineering standards within the pod * Collaborate with frontend engineers, data engineers and infrastructure teams to deliver end\-to\-end capabilities * Own API contracts and service reliability, ensuring graceful handling of AI edge cases and failures * Provide stable, reusable orchestration frameworks and logic intended for downstream developer use **Requirements** * Proven backend engineering experience (5\+ years) focused on microservices and distributed systems * Hands\-on Python experience (3\+ years) building high\-performance backend services and cloud\-native APIs * Expert\-level knowledge of AWS, Docker and ECS/EKS in production environments * Solid experience designing and delivering RESTful API services * Strong understanding of secure coding practices with dependable auth/authz fundamentals * Upper\-Intermediate English proficiency (B2\) **Nice to have** * 2\+ years of production experience with AI SDKs such as OpenAI, Anthropic/Claude or AWS Bedrock * Exposure to vector stores (Amazon Kendra, OpenSearch) plus embedding strategies and retrieval systems * Practical experience delivering solutions with agentic frameworks like LlamaIndex * Hands\-on use of AI evaluation tooling or real\-time APM platforms such as LangSmith, Langfuse, Arize * 2\+ years building React and TypeScript features alongside large\-scale EKS deployments * Familiarity with agent interoperability patterns (MCP), identity/security domains (IAM, CIAM) and additional languages such as Java, Node.js or Go