أبلاي إيدج ابدأ البحث عن عمل

Python Engineer

UMATR · San Francisco Bay Area

قدّم وتابع مع أبلاي إيدج
We’re partnered with a company looking to hiring an AI Engineer to build backend infrastructure that unifies access to multiple AI model providers and simplifies how developers integrate with LLMs and AI agents.You’ll work primarily in Python with modern async web frameworks and multiple LLM provider SDKs, building the layer that normalizes calls across different model APIs and shapes how developers interact with AI services.This is a hands-on engineering role where you’ll collaborate closely with senior technical leadership, influence core product direction, and see your work adopted by a broad developer audience.What you’ll doDevelop and maintain connectors to multiple LLM and AI model APIsDesign normalization layers that convert between different provider API formatsBuild abstractions that work across providers for common patterns like sessions, batching, and context handlingArchitect systems that expose advanced provider features while keeping a consistent developer APIWork with LLMs, model-context protocols, and AI agent systems, prioritizing clean APIs and developer ergonomicsImplement authentication flows and integrations across different AI providers and MCP environmentsContribute to the design and development of Python-based APIs and backend servicesThink carefully about developer experience and how to make APIs simple, reliable, and intuitiveWork directly with users to understand problems, gather feedback, and turn real-world use cases into product improvementsWhat we’re looking for1-2+ years of experience building and shipping backend or full-stack softwareStrong Python development experienceExperience building production APIs with FastAPI or similar async frameworksHands-on experience working with LLM APIs, particularly OpenAI or AnthropicSolid understanding of API design, request/response structures, and provider-specific API differencesComfortable working with Redis and PostgreSQLGenuine interest in LLMs, AI agents, model-context protocols, and developer infrastructureComfortable speaking directly with users and turning their feedback into technical solutionsStrong background from a top 25 university or demonstrable track record as a founder/founding engineer at an early-stage startupIf this sounds like you, please apply with your latest CV and we will be in touch to discuss the role further.