обновлено 1 месяц назад
Full-Stack AI Engineer – Remote
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Full-Stack AI Engineer – Remote (AI/LLMs/Python/React): Building secure, scalable production AI applications with an accent on LLM integration, RAG pipelines, full-stack development, and MLOps. Focus on designing AI APIs and user experiences, optimizing inference latency and cloud costs, and maintaining reliable model and data pipelines.
Location: Remote from South Africa or Kenya; working hours aligned with U.S. client business hours, with flexibility for sprint planning, deployments, and experimentation cycles.
Company
is hiring for a client building production-ready AI applications and AI-powered products.
What you will do
- Build and deploy production AI applications, including chatbots, semantic search, document intelligence, AI copilots, and workflow automation.
- Integrate LLMs and machine learning models using OpenAI, Hugging Face, PyTorch, and TensorFlow.
- Develop RAG pipelines, vector database integrations, prompt and inference workflows, and scalable REST APIs.
- Build responsive full-stack applications with React, Next.js, Vue.js, Python, FastAPI, Flask, and Node.js.
- Develop ETL workflows for structured and unstructured data using Airflow, Prefect, or Dagster and cloud data warehouses.
- Deploy and monitor applications and models with Docker, Kubernetes, CI/CD, MLflow, Datadog, Prometheus, and related MLOps tools.
Requirements
- 3+ years of software engineering experience with exposure to AI/ML systems.
- Experience building production AI applications and deploying machine learning models.
- Strong Python and JavaScript/TypeScript skills, plus experience with OpenAI APIs, Hugging Face, PyTorch, and TensorFlow.
- Experience building scalable REST APIs and front-end applications with React, Next.js, or Vue.js.
- Strong SQL skills and experience with cloud databases, vector databases, Docker, Kubernetes, and CI/CD pipelines.
- Must be based in South Africa or Kenya and work U.S. client business hours.
Nice to have
- Experience building AI-powered SaaS platforms.
- Experience with embeddings, fine-tuning, RAG, MLflow, Kubeflow, Vertex AI, or SageMaker.
- Knowledge of serverless architectures, microservices, AI observability, evaluation frameworks, and model drift monitoring.
- Experience optimizing inference latency, infrastructure reliability, and cloud costs.
Culture & Benefits
- Fully remote role with long-term career growth.
- End-to-end ownership of production AI applications.
- Exposure to modern LLMs, RAG pipelines, AI infrastructure, MLOps, and cloud technologies.
- Significant technical ownership and collaboration with product, data, and engineering teams.
- Potential progression into Senior AI Engineer, AI Solutions Architect, Staff Software Engineer, AI Platform Lead, or Engineering Manager roles.
Hiring process
- Application review followed by a 3–5 minute Spark Hire introductory video.
- Recruiter interview, technical assessment involving AI model deployment with API endpoints and front-end integration, and final client interview.
- Offer and background verification.
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