Agentic Engineer for AI Video Creation

Agentic Engineer for AI Video Creation
Company: TrueFan AI
Location: Gurgaon, India (On-site)
Function: AI / Generative AI Engineering
About TrueFan AI
TrueFan AI is a generative-AI platform building AI-powered celebrity video ads and
hyper-personalized marketing solutions for Indian brands. We work at the intersection of
GenAI, video, voice, and automation , building production systems that create content at
scale.
About the Role
We are looking for an AI Engineer experienced in building large-scale, agent-driven
video generation pipelines .
You will build systems where AI agents orchestrate multiple models and tools to take a video
brief from idea → script → scenes → generation → voice/lip-sync → editing → validation → final video .
This role sits at the intersection of AI agents, generative video, backend engineering, and
distributed systems . The ideal candidate is a hands-on builder who can take experimental
AI capabilities and turn them into reliable, scalable production systems.
What You'll Do
Agentic Video Generation
Build multi-step AI agents that autonomously plan and execute video-generation workflows.
Orchestrate LLMs, image/video generation models, TTS, voice, lip-sync, avatars, and other AI tools.
Design agent state, tool calling, planning, validation, retries, fallbacks, and human-in-the-loop workflows.
Build systems that can dynamically decide the next step based on intermediate outputs.
Scale & Infrastructure
Build high-throughput video-generation pipelines capable of processing large batches and concurrent jobs.
Design asynchronous workflows using queues, workers, APIs, and distributed systems.
Optimize pipelines for quality, latency, throughput, reliability, and cost .●
Build robust handling for failures, retries, timeouts, partial outputs, and long-running
jobs.
AI & Video Engineering
Integrate and evaluate new generative video, image, audio, and multimodal models.
Build automated video-processing workflows using tools such as FFmpeg .
Develop pipelines for compositing, rendering, subtitles, audio/video synchronization, and asset management.
Build evaluation and quality-control systems for generated content.
Production Engineering
Build production-grade Python services and APIs.
Implement monitoring, logging, tracing, error handling, and automated validation.
Debug issues across the entire AI pipeline, from agent decisions to model failures and rendering jobs.
Take systems from prototype → production → scale.
What We're Looking For
2–4 years of experience in AI/ML, software engineering, or generative AI.
Hands-on experience building video-generation or generative-media pipelines .
Strong Python and backend engineering fundamentals.
Experience building LLM-powered agents and multi-step workflows.
Experience integrating multiple AI models/APIs into production pipelines.
Strong understanding of asynchronous processing, queues, workers, and distributed systems.
Ability to build reliable systems at scale with a focus on latency, cost, and throughput.
Strong debugging, problem-solving, and ownership mindset.
Nice to Have
Experience with LangGraph, LangChain, CrewAI, or similar agent frameworks .
Experience with video-generation models, TTS, voice cloning, lip-sync, avatars, or multimodal AI.
Experience with FFmpeg, GPU inference, or distributed GPU workloads .
Experience with Celery, RabbitMQ, Redis, Kafka, Docker, or cloud infrastructure.
Experience building evaluation systems for generative AI.
Our Stack
AI / Agents: LLM APIs, Agent Frameworks, Multimodal AI
Generative Media: Video, Image, Voice, TTS, Lip-sync
Backend: Python, FastAPI
Video Processing: FFmpeg
Orchestration: Celery, RabbitMQ, Redis, Background WorkersInfrastructure: Docker, Cloud / GPU Workloads
Database: MySQL / PostgreSQL
What Success Looks Like
Build and ship agentic video-generation pipelines at scale .
Automate the journey from a video brief to a finished video with minimal manual intervention.
Reliably orchestrate multiple AI models and tools.
Improve video quality, pipeline speed, reliability, and cost.
Build infrastructure capable of handling large volumes of concurrent video-generation jobs.
Rapidly integrate and productionize new AI models and capabilities.
This is a builder's role for someone excited about making AI agents capable of creating complete videos — autonomously and at scale.

Work arrangement
No