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Full-Stack AI Engineer

2 months, 1 week ago
Kenya, South Africa
Full-time
Mid Level
AI Engineer
Software Development
Apache Airflow CI/CD Dagster Datadog Docker FastAPI Flask GCP Git HIPAA Hugging Face JavaScript Kubeflow Kubernetes LLM Machine Learning Microservices MLflow MLOps Next.js Node.js Prefect Prometheus Python PyTorch React REST API SageMaker Serverless Snowflake SQL TensorFlow TypeScript Vertex AI Vue.js
Apply Now
Pavago

Pavago

Pavago specializes in connecting small and medium-sized businesses with skilled offshore talent from Pakistan and Latin America, offering a streamlined recruitment process that enables the hiring, onboarding, and payment of remote employees at signific...

IT Services
Founded 2023
View All Jobs 364

Description

  • Design, build, and deploy end-to-end AI-powered applications for production use.
  • Integrate LLMs and machine learning models into scalable application environments.
  • Develop AI features such as chatbots, semantic search, document intelligence, copilots, and workflow automation.
  • Build scalable APIs and backend services that expose AI capabilities to applications.
  • Create Retrieval-Augmented Generation (RAG) pipelines and implement vector-database-based semantic search.
  • Build and maintain ETL pipelines for structured and unstructured data, including ingestion, cleaning, validation, and versioning.
  • Develop modern front-end interfaces and ensure applications are responsive, secure, and production-ready.
  • Deploy applications and models using Docker, Kubernetes, and CI/CD pipelines.
  • Monitor model performance, inference latency, infrastructure reliability, and cloud cost efficiency.
  • Collaborate with product managers, data scientists, and engineering teams to deliver AI features and document systems.

Requirements

  • 3+ years of software engineering experience with exposure to AI/ML systems.
  • Experience building production AI applications and deploying machine learning models into production environments.
  • Strong proficiency in Python and JavaScript/TypeScript.
  • Hands-on experience with OpenAI APIs, Hugging Face, PyTorch, and TensorFlow.
  • Experience building scalable REST APIs.
  • Front-end development experience with React, Next.js, or Vue.js.
  • Strong SQL skills and experience working with cloud databases.
  • Experience using Docker, Kubernetes, and CI/CD pipelines.
  • Familiarity with vector databases and AI inference services.
  • Nice to have: experience building AI-powered SaaS platforms, working with embeddings, fine-tuning, and RAG, or using MLflow, Kubeflow, Vertex AI, or SageMaker.
  • Nice to have: familiarity with serverless architectures, microservices, AI observability, evaluation frameworks, and model drift monitoring.
  • Must be available to work U.S. client business hours with flexibility for sprint planning, deployments, and experimentation cycles.

Benefits

  • Full-time, remote work arrangement.
  • Opportunity for end-to-end ownership of production AI applications.
  • Exposure to modern LLMs, RAG pipelines, MLOps, and cloud technologies.
  • Collaborative engineering culture with significant technical ownership.
  • Clear progression into senior technical and leadership roles.
  • Long-term career growth opportunity.
  • Interview process includes a Spark Hire intro video that can be recorded at your convenience.

Interested in this position?

Apply directly on the company website

Apply Now

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