Senior Software Engineer
hace 18 horas
Overview At Platzi, we’re building AI-powered products that are transforming how people learn. We’re looking for a Senior Software Engineer with strong software development foundations and proven experience integrating AI into real-world products . This role is perfect for someone who has shipped production-grade software and already worked hands-on with AI frameworks, APIs, or data pipelines. You don’t need to be an AI researcher, but you should know how to apply AI tools effectively while maintaining high engineering standards. What you’ll do Design and buildend-to-end AI-powered features that directly impact how people learn at Platzi. UseLLMs, agents, embeddings, RAG, and fine-tuning not just as tools, but as core building blocks to deliver personalized, intelligent product experiences. Work with multiple LLM providers: OpenAI, Anthropic, Gemini/Vertex AI, Mistral AI. Integrate frameworks like LangChain, LlamaIndex, and similar tools into real data pipelines and products. Process unstructured data (PDFs, images, videos) and extract meaningful information. Build robust backend services with Python, FastAPI, and Django (bonus points if you also know TypeScript and have worked with Cloudflare Workers or Hono). Stay up to date with the latest AI advancements and bring those improvements to our stack. Read, understand, and apply insights from technical papers and research reports. Collaborate across teams to deliver reliable, maintainable software that scales. Who you are 4+ years of experience as a Software Engineer (backend or fullstack preferred). Strong command of Python (FastAPI, Django) and/or TypeScript (Node.js, Cloudflare Workers). Solid background in software design principles, clean code, and system architecture. Hands-on experience integrating AI into products: LLM APIs, embeddings, retrieval-based architectures (RAG), or data pipelines. Familiarity with frameworks such as LangChain, LlamaIndex, or HuggingFace. Ability to work with unstructured data and transform it into usable product outputs. Comfort with cloud environments and DevOps practices. English level B2 or above — able to hold technical discussions. Nice to have Experience deploying and optimizing AI-powered features end to end. Knowledge of model fine-tuning or open-source AI tools. Contributions to open-source projects or AI/engineering communities. Familiarity with distributed systems or real-time data processing. Hardware With Platzi's help, you will have 100% of the necessary work tools such as a laptop, smartphone, desk, ergonomic chair, monitor, and other accessories. Books We provide you with all the books you need to grow professionally on Kindle, and we give you the Kindle too
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