AI Engineer

Posted 4 Days Ago
Be an Early Applicant
Hiring Remotely in Malaysia
Remote
2-4 Annually
Mid level
Edtech
The Role
As an AI Engineer, you will develop GenAI applications, build data pipelines, and deploy AI systems on Google Cloud Platform while collaborating with product teams and ensuring engineering excellence.
Summary Generated by Built In

About the Role
In the AI Engineer role, you will build and deploy production-grade GenAI applications and analytics solutions that power personalized experiences for millions of Mindvalley users. This role demands strong technical execution at the intersection of generative AI, machine learning with a focus on shipping scalable systems on Google Cloud Platform.

As an AI Engineer, you will demonstrate expertise in building LLM-powered applications, implementing robust data pipelines, and maintaining production systems that deliver reliable value. Your impact will be measured by the quality, performance, and business impact of the AI capabilities you create, working closely with data scientists, MLOps engineers, and product teams to transform ambitious ideas into shipped products.

Key Responsibilities

AI System Development:

  • 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

Cloud Infrastructure and Deployment:

  • Architect and implement cloud-native solutions using GCP services.

  • Deploy, automate, monitor, and scale AI systems in production environments with strong operational practices

Analytics and Insights:

  • 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

Engineering Excellence:

  • 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

Technical Innovation:

  • 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


Key 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


Experience
  • 2-4 years of experience in AI/ML engineering, analytics engineering, or software engineering with ML exposure

  • Demonstrated track record of building and deploying GenAI applications in production environments

  • Experience developing end-to-end ML or analytics workflows from data ingestion to model serving

  • History of working with cloud platforms, particularly GCP, in production settings

  • Background in building systems that serve real users at scale with reliability and performance requirements

  • Experience with multi-agent AI systems is highly desirable

  • Previous experience in EdTech, SaaS, or high-growth technology companies is a plus

Mindvalley is an equal opportunity employer and does not discriminate on the basis of race, colour, religion, gender identity or expression, national origin, age, disability, marital status, sexual orientation, or any other legally protected status. We are committed to creating a diverse and inclusive workplace and encourage applications from all qualified individuals.

Top Skills

Chroma
Docker
Fastapi
Genai Frameworks
Git
Google Cloud Platform
Pinecone
Python
SQL
Weaviate
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The Company
Kuala Lumpur, Federal Territory
503 Employees
Year Founded: 2003

What We Do

Mindvalley is a learning experience company that publishes ideas and teachings by the best authors in personal growth, wellbeing, spirituality, productivity, mindfulness and more – and combines them with cutting-edge sophisticated learning technology within engaged and supportive communities.

Through our education platforms, online academies, mobile apps and both digital and live events, we give you access to an alternative curriculum that empowers you to kickstart your personal growth and lead extraordinary lives. Our ultimate goal is to launch a unified school for a billion people for all stages of life.

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