Intern AI Platform Engineer

TECHVIFY Corporation is an End to End AI-Powered Digital Transformation Partner.

At TECHVIFY, we don’t just build software.

We engineer breakthroughs.
We innovate with AI, craft with code, and scale with cloud.

We partner with startups, enterprises, and even competitors on a shared mission:
To turn bold ideas into real-world impact.

If you’re looking to lead digital transformation through intelligent software, we’re ready to build with you.

Let’s create the future – together.

We are seeking a motivated Intern AI Platform Engineer to support the development of our LLMOps Platform and DevSecOps Platform. This is an excellent opportunity for a final-year student or recent graduate passionate about Large Language Models (LLMs), Infrastructure as Code, DevOps, and Containerization. You will gain hands-on experience working alongside experienced engineers, contributing to cutting-edge AI and cloud solutions.

Platform Engineering & Development:

• Assist in designing, developing, and maintaining an LLMOps or DevSecOps platform.
• Implement and automate CI/CD pipelines for AI/ML models and cloud-based solutions.
• Support containerization and orchestration using Docker, Kubernetes, and Helm.
• Work with Infrastructure as Code (IaC) tools like Terraform or Pulumi to automate cloud environments.

AI/LLM Integration & Operations:

• Research and experiment with LLM frameworks such as OpenAI, Hugging Face, and LangChain.
• Assist in deploying LLMs in production environments while ensuring scalability, security, and performance.
• Collaborate with engineers to optimize model performance and integrate AI-driven solutions into enterprise applications.

DevSecOps & Cloud Operations:

• Help in automating security best practices within the DevOps lifecycle.
• Monitor and optimize cloud-based infrastructure on Azure, AWS, or GCP.
• Support log management, monitoring, and observability using tools like ELK, Prometheus, or Grafana, Loki, Tempo, etc.

Collaboration & Learning:

• Work closely with senior engineers, DevOps teams, and AI researchers.
• Engage in cross-functional discussions, presenting ideas to both technical and non-technical stakeholders.
• Keep up with the latest trends in AI, DevOps, and cloud computing, contributing to continuous improvement.

Must-Have:

• Final-year student or recent graduate in Software Engineering, Computer Science, AI, Data Science, or a related field.
• Basic understanding of LLMs, NLP, and AI model deployment.
• Knowledge of DevOps practices, CI/CD, and Infrastructure as Code (Terraform, Pulumi, or CloudFormation).
• Familiarity with Docker, Kubernetes, and container orchestration.
• Strong programming skills in Python, JavaScript, or Go (At least 1 programming language).
• Good command of English for technical communication.
• A proactive, problem-solving mindset and eagerness to learn.

Nice-to-Have:

• Experience with MLOps/LLMOps tools (MLflow, Kubeflow, Langfuse, etc).
• Familiarity with security automation in DevSecOps.
• Hands-on experience with cloud platforms (Azure, AWS, GCP).

• Salary range: Up to 4,000,000 VND/month (Training contract: 2 months).
• Probation salary after training: Negotiable.
• Young and dynamic work environment.
• Opportunities for onsite work in Japan, Singapore, and Australia.
• Exposure to cutting-edge technology trends.
• Tuition sponsorship for courses (Udemy, etc.).
• Relaxed workspace with gaming machines, music breaks, and team-building activities.
• Additional perks: Summer vacations, birthdays, team-building events, and more.