Remote AI/ML Engineer Intern — Build Production Gen Pipelines

University of St. La Salle; Philippines; Hybrid; PHP 600,000 - 1,400,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Direct exposure to founders

Job summary

AICines is seeking an AI Engineer to join its remote team. You will create and maintain production AI pipelines for video and image generation, integrate models, and craft prompts to ensure consistent characters and styles across generations.

You will optimize inference latency, explore new models, and build tooling for the creative team. Strong Python skills and hands-on ML experience are essential.

Qualifications

• Current student or recent graduate in any technical field (CS, AI/ML, Engineering, or similar).
• Python is the core requirement.
• Hands-on with LLM APIs, diffusion models, video generation, or ML frameworks is a plus.
• Understanding of APIs, async work, and basic cloud concepts is important.
• A GitHub, published project, or body of generated work is desirable.
• No prior professional experience required — students and junior candidates are encouraged to apply.

Responsibilities

• Build and maintain AI video and image generation pipelines.
• Integrate and evaluate models — video, image, audio, and LLMs.
• Build prompt systems for consistent characters, styles, and worlds across generations.
• Optimise inference cost and latency for a live, global user base.
• Build internal tooling for the creative team.
• Test new models as they release and report what is worth adopting.

Skills

Python

LLM APIs

Diffusion models

Video generation

ML frameworks

APIs

Cloud basics

Async programming

Job description

AICines is seeking an AI Engineer to join its remote team. You will create and maintain production AI pipelines for video and image generation, integrate models, and craft prompts to ensure consistent characters and styles across generations.

You will optimize inference latency, explore new models, and build tooling for the creative team. Strong Python skills and hands-on ML experience are essential.