AI Engineer
Mindvalley
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇲🇾 Malaysia
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
CloudDockerGoogle Cloud PlatformPythonSQL
About the role
- Design and deploy production AI systems using LLMs, RAG, and ML models that power personalization, semantic search, and intelligent recommendations
- Build robust data pipelines, model training workflows, and APIs that support AI-driven product experiences with high reliability and performance
- Architect and implement cloud-native solutions using GCP services.
- Deploy, automate, monitor, and scale AI systems in production environments with strong operational practices
- Develop analytics solutions that extract actionable insights from user data and drive business decisions
- Build reporting pipelines and dashboards that enable stakeholders to understand AI system performance and user behavior
- Ensure adherence to software engineering standards including testing, documentation, version control, and security best practices
- Implement MLOps principles including CI/CD pipelines, containerization, model monitoring, and deployment automation
- Stay current with emerging GenAI technologies, frameworks, and best practices to continuously improve system capabilities
- Experiment with new approaches to RAG optimization, prompt engineering, and vector search to enhance application quality
Requirements
- Strong proficiency in Python with extensive experience in GenAI frameworks (LangChain, LangGraph, Google ADK, or similar)
- Proven expertise with vector databases (Pinecone, Weaviate, Chroma) including indexing strategies, similarity search, and metadata filtering
- Hands-on experience with GCP services
- Understanding of LLM applications including prompt engineering, RAG, embeddings, semantic retrieval etc.
- Analytics capabilities with SQL
- Solid software engineering fundamentals including API development (FastAPI preferred), containerization (Docker), and version control (Git)
- Understanding of MLOps practices: CI/CD pipelines, model monitoring, deployment strategies, and production system maintenance
- Excellent problem-solving skills with ability to debug complex systems and optimize performance
- Strong communication skills to collaborate effectively with technical and non-technical stakeholders
- Self-driven mindset with ability to work independently, ship fast, and iterate based on feedback
Benefits
- Health insurance
- Retirement plans
- Flexible work arrangements
- Professional development
- Paid time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonGenAI frameworksvector databasesSQLAPI developmentcontainerizationMLOpsCI/CD pipelinesmodel monitoringRAG
Soft skills
problem-solvingcommunicationself-drivencollaboration