Location: Bengaluru - JP Nagar (On-site)
Working: 6 days
Duration: 6 months
Stipend: ₹35,000 – ₹60,000 per month
About the Role
We're a VC-funded startup building at the intersection of AI and education, and we crossed 1 million+ users in our first 6 months. We use generative AI to turn Govt exam prep into cinematic, watchable content. Every video is produced by AI, from script to final frame.
This is an engineer's role first. You'll write Python, build AI agents, and ship the tools that power our video production pipeline. You'll also need to know the craft of AI video generation end to end, and have the eye to tell a great shot from a broken one.
We don't want someone who only prompts. We don't want someone who only codes and has never touched a generation model. We want the rare person who does both. Ideally, you've already built end-to-end AI agents for real problems, generated video and audio with AI yourself, and can tell frame by frame what's working and what isn't.
What You'll Do
- AI Agents & Automation: Design and build end-to-end AI agents and automated pipelines in Python that run the production workflow: script → assets → assembly → QA. This is the core of the role.
- Generative Video & Media: Build cinematic videos with models like Google Veo, Higgsfield, Kling, Runway and Grok Video. Turn narration and audio into synced, animated video. Generate images and animate them into motion.
- Model Fine-Tuning: Fine-tune and adapt models (diffusion workflows, LoRAs, custom pipelines) to lock in our visual style and subject matter. Build evaluation loops that show whether output is actually getting better, not just different.
- Pipeline & Tooling: Build the internal tools that make production faster and more consistent: prompt libraries, asset pipelines, ComfyUI workflows, API integrations and light automation. When you see a manual process, build the thing that removes those steps.
- Review & Quality: Review generated output critically. Judge which frames and shots are good and diagnose failure modes such as drift, artifacts, inconsistency, broken lip-sync and warping. Feed what you learn back into prompts, models and workflows. Knowing why a generation failed matters as much as making one that works.
- Scripting & Storyboarding: Work across the full creative pipeline, turning exam concepts into scripts, storyboards and visual narratives that actually land with learners.
- End-to-End Ownership: Take a piece of tooling or content from "here's a vague idea" to "it's live in front of users." Over time, handle more of the work end to end with less hand-holding. A pipeline that only works on your laptop is worth zero.
The Pipeline You'll Live Inside
| Stage |
What "good" means |
| Script |
Accurate exam content, tight pacing, written to be watched rather than read |
| Storyboard |
Every shot has a purpose, and the visual narrative matches the concept |
| Image Generation |
On-style, on-subject, consistent characters and look |
| Video Generation |
Cinematic motion with no warping, drift or artifacts |
| Audio & Sync |
Clean narration (ElevenLabs or similar) and correct lip-sync and timing |
| Assembly & QA |
Automated checks catch broken output before a human has to |
Tools & models you'll touch: Veo · Kling · Runway · Higgsfield · Grok Video · ElevenLabs · ComfyUI · LoRAs · ControlNet · LangChain / LlamaIndex · n8n · Claude Code / Codex · RunPod / AWS · Docker