AI Engineer Intern

About the RoleReelSaga is looking for an AI Engineer Intern to build and automate generative AI workflows for content production. You’ll work closely with our content and creative teams to turn repetitive, manual processes into reliable pipelines—helping us produce videos, promos, voiceovers, and other creative assets faster and at scale.We’re looking for a technical builder who enjoys experimenting, writes working code, and moves quickly from an idea to a usable solution.What You’ll DoBuild end-to-end GenAI pipelines connecting script generation, image and video generation, voiceovers, and automated editing.Integrate AI models, APIs, and production tools into repeatable workflows.Automate tasks such as asset organisation, batch generation, subtitles, video assembly, and export.Reduce production turnaround times by identifying bottlenecks and improving existing processes.Build lightweight internal tools that content teams can use without technical support.Experiment with models and tools to improve output quality, speed, and cost.Make pipelines reliable through validation, logging, retries, and error handling.Document workflows and track improvements in processing time, cost per output, and manual effort.What We’re Looking ForStrong working knowledge of Python; familiarity with JavaScript or TypeScript is a plus.Experience integrating REST APIs and working with JSON, webhooks, and third-party services.Hands-on experience building with LLMs or generative AI tools through projects, internships, or personal experiments.Understanding of prompt design, structured outputs, and chaining multiple AI tasks into a workflow.Ability to debug independently, learn unfamiliar tools quickly, and deliver working prototypes.A practical approach to execution: build, test with real users, improve, and document.Interest in video, storytelling, and solving real content-production problems.Good to HaveExperience with FFmpeg or other programmatic audio and video processing tools.Familiarity with image, video, or speech generation APIs.Experience with workflow tools such as n8n, Make, or similar platforms.Understanding of asynchronous processing, job queues, concurrency, and API rate limits.Familiarity with Git, cloud deployment, databases, or object storage.What Success Looks LikeYou build workflows that the team actually uses, reduce the time between a creative brief and a finished asset, and help increase output while maintaining quality and controlling costs.Who Should ApplyStudents, recent graduates, and self-taught developers with strong practical projects are welcome. You don’t need experience with every tool listed, but you should be comfortable coding and able to demonstrate something you’ve built.How to ApplyShare your resume to animesh.gautam@reelsaga.in aand links to relevant projects, GitHub repositories, or demos. Include a short note about an AI workflow or automation you built: what it does, which tools you used, and what manual work it reduced.