AI / ML Engineer
Description
We're hiring AI engineers to build the generation pipelines behind AICines — video and image models, prompt systems, character consistency, and the infrastructure that makes it all run at scale. This is production AI work, not notebooks.
Pay: ₹25,000 – ₹2,00,000/month (~$250–$2,000 USD equivalent), set by portfolio and interview, plus performance bonus. Open to candidates worldwide — pay is set in INR but paid via international transfer.
Performance bonus: tied to shipped pipelines and model quality improvements.
This role converts. Strong performers receive a pre-placement offer for a full-time role at AICines or one of our partner production companies. We're also open to contract arrangements.
Interns, junior, and mid-level candidates all welcome — we hire on what you've built, not years.
Before you apply — this is not optional. We expect every candidate to have spent real time with the AICines product before the interview. Go through aicines.com and the platform itself: understand how the creator leaderboard works, how Minis work, and how creators actually publish and get discovered on AICines. Every interview starts with this. Candidates who haven't explored the product don't move forward.
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
Optimise inference cost and latency
Build internal tooling for the creative team
Test new models as they release and report what's worth adopting
Requirements
Python — the core requirement
Hands-on with any of: LLM APIs, diffusion models, video generation, or ML frameworks
Understanding of APIs, async work, and cloud basics
A GitHub, published project, or body of generated work
Interns, junior, and mid-level engineers all welcome — this field is young, we hire on what you've built
Interns, junior, and mid-level candidates all welcome — we hire on what you've built, not years.
Must have explored the AICines platform before the interview — every interview starts with this