[Remote] Full-Stack AI Engineer

Note: The job is a remote job and is open to candidates in USA. Pavago is seeking a highly skilled Full-Stack AI Engineer to build, deploy, and scale AI-powered applications that address real business challenges. The role involves combining full-stack software engineering with applied AI/ML expertise, collaborating with various teams to deliver intelligent automation systems and scalable machine learning infrastructure.ResponsibilitiesDeploy and integrate AI/ML models using OpenAI, Hugging Face, TensorFlow, PyTorch, or similar frameworksBuild scalable APIs for AI inference using FastAPI, Flask, or Node.jsDevelop retrieval-augmented generation (RAG) pipelines using Pinecone, Weaviate, FAISS, or vector databasesImplement embeddings, semantic search, and AI-powered workflowsOptimize inference performance, latency, and cost efficiencyBuild frontend interfaces using React, Next.js, Vue, or modern JavaScript frameworksDevelop backend systems and APIs that connect AI models with business logicCreate user-facing AI features such as chatbots, copilots, dashboards, and automation toolsEnsure applications are responsive, secure, scalable, and production-readyBuild microservices and scalable backend architecturesDevelop ETL pipelines for ingesting, cleaning, transforming, and managing datasetsAutomate preprocessing, data labeling, and workflow orchestration using Airflow, Prefect, or DagsterManage structured and unstructured datasets in cloud environmentsMaintain reliable pipelines for model training, fine-tuning, and evaluationContainerize AI services using Docker and deploy applications using Kubernetes or cloud infrastructureBuild CI/CD pipelines for model deployments and application releasesMonitor model performance, drift, costs, and system reliabilityWork with cloud platforms such as AWS, GCP, Azure, Vertex AI, or SageMakerImprove scalability, uptime, and infrastructure efficiencyImplement secure API authentication, access control, and rate limitingEnsure AI systems comply with GDPR, HIPAA, SOC 2, or related compliance requirementsMaintain monitoring, logging, and observability for production systemsTroubleshoot production incidents and optimize system reliabilityPartner with product and data teams to define AI-powered product featuresTranslate AI prototypes into scalable production systemsParticipate in sprint planning, technical discussions, and architecture decisionsMaintain clear technical documentation and reproducible workflowsSkills3+ years of software engineering experience with AI/ML exposureStrong proficiency in Python and JavaScript/TypeScriptExperience with AI/ML frameworks such as PyTorch or TensorFlowExperience deploying ML or LLM systems into production environmentsStrong frontend experience with React, Next.js, or VueExperience building APIs and backend servicesStrong SQL skills and experience with cloud data platformsFamiliarity with Docker, CI/CD pipelines, and cloud deploymentsExperience building AI-powered SaaS platforms or automation productsExperience with LLM fine-tuning, embeddings, and RAG systemsFamiliarity with vector databases and semantic search infrastructureExperience with MLOps tools such as MLflow, Kubeflow, Vertex AI, or SageMakerKnowledge of microservices, serverless architectures, and distributed systemsExperience optimizing inference cost and performance at scaleCompany OverviewPavago - Thinking Globally to Grow Locally 🌍 Welcome to Pavago, where the world is your talent pool. It was founded in 2022, and is headquartered in Meridian , Idaho, US, with a workforce of 11-50 employees. Its website is https://pavago.co.