Full-Stack AI Engineer

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 At Pavago , one of our clients is hiring a 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’ll work across AI pipelines, backend systems, APIs, cloud infrastructure, and modern frontend frameworks to deliver scalable, production-ready AI applications. You’ll collaborate closely with engineering, product, and data teams to build intelligent automation, chat experiences, analytics tools, and AI-powered workflows. Responsibilities AI & LLM Development Integrate AI/ML models using OpenAI, Hugging Face, TensorFlow, PyTorch, or similar frameworks. Build AI inference APIs using FastAPI, Flask, Node.js, or similar technologies. Develop RAG pipelines using vector databases such as Pinecone, Weaviate, or FAISS. Implement embeddings, semantic search, and AI-powered workflows. Optimize inference performance, scalability, and cost. Full-Stack Development Build frontend applications using React, Next.js, Vue, or similar frameworks. Develop backend services and APIs connecting AI models with business logic. Build AI-powered features including chatbots, copilots, dashboards, and automation tools. Design secure, scalable, and maintainable application architectures. Data & Infrastructure Build ETL pipelines and data workflows using Airflow, Prefect, Dagster, or similar tools. Manage structured and unstructured datasets. Deploy AI services using Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP. Build CI/CD pipelines and monitor system performance, reliability, and costs. Security & Collaboration Implement secure authentication, authorization, and API protection. Maintain compliance with security and privacy standards where applicable. Coll