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Full-Stack AI Engineer

Pavago•United States•🌍 Remote
Full-timeMid Level
👁️ 0 views•📝 0 applications•Posted 9/16/2026•Expires 11/15/2026
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Job Description

Full-Stack AI Engineer Position Type: Full-Time, Remote Working Hours: U.S. Business Hours Location: Remote (LATAM, Eastern Europe, Pakistan, India, South Africa Preferred)

About the Role

We are hiring a highly skilled Full-Stack AI Engineer to build, deploy, and scale AI-powered applications that solve real business problems. This role combines full-stack software engineering with applied AI/ML expertise.

You will work across backend systems, AI pipelines, APIs, cloud infrastructure, and frontend applications to bring AI features from prototype to production.

The ideal candidate is both technically strong and product-minded — someone who can move quickly, build scalable systems, and turn modern AI capabilities into reliable, user-friendly products.

You will collaborate closely with engineering, product, and data teams to deliver AI-powered workflows, intelligent automation systems, chat experiences, analytics tools, and scalable machine learning infrastructure.

What You’ll Own AI & LLM Integration Deploy and integrate AI/ML models using OpenAI, Hugging Face, TensorFlow, PyTorch, or similar frameworks

• Build scalable APIs for AI inference using FastAPI, Flask, or Node.js

• Develop retrieval-augmented generation (RAG) pipelines using Pinecone, Weaviate, FAISS, or vector databases

• Implement embeddings, semantic search, and AI-powered workflows

• Optimize inference performance, latency, and cost efficiency Full-Stack Application Development Build frontend interfaces using React, Next.js, Vue, or modern JavaScript frameworks

• Develop backend systems and APIs that connect AI models with business logic

• Create user-facing AI features such as chatbots, copilots, dashboards, and automation tools

• Ensure applications are responsive, secure, scalable, and production-ready

• Build microservices and scalable backend architectures Data Engineering & Pipelines Develop ETL pipelines for ingesting, cleaning, transforming, and managing datasets

• Automate preprocessing, data l

Required Skills

OpenAIHugging FaceTensorFlowPyTorchFastAPIFlaskNode.jsPineconeWeaviateFAISSReactNext.jsVueJavaScriptETL

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