Descripción de la oferta
Overview
In this senior role, you will design and scale genAI workflows to power a next-generation coverage analysis platform. You’ll architect agentic, multi-step systems and integrate diverse LLM providers for production-grade AI solutions. You’ll work across teams to refine prompts, improve performance, and drive the platform’s evolution. This is an opportunity to shape how AI capabilities deliver business value at scale in a global, innovative environment.
Compensaciones / Beneficios100% remotecompetitive compensationglobal enterprise environmentcareer growth and technical leadership opportunitiesexposure to cutting-edge AI projects
ResponsabilidadesArchitect GenAI workflows with modular, composable steps using LangGraphBuild and manage LLM orchestration layers with tools like LiteLLMCreate typed data flows and validation with PydanticEvaluate and integrate multiple LLM providers (OpenAI, Claude) for latency, cost, and qualityImplement observability, logging, tracing, and monitoring with Langfuse or LangSmithOptimize prompts, token usage, and inference efficiencyCollaborate with data scientists, AI engineers, and product teams to refine prompts and deploy features
Requisitos principales5+ years of Python development2+ years building production systems powered by LLMsHands-on experience with LangGraph or similar frameworksDeep expertise with Pydantic for data modelingStrong understanding of LLM capabilities, prompts, and evaluationProduction experience with async Python (asyncio)Ability to design complex architectures with minimal guidancecross-functional collaborationinitiative and ownershipstrong communicationLangGraph or LangChainLiteLLM or multi-model layersPydantic
