About the role :

We are seeking an AI Engineer to build and implement AI systems for content production at scale. You'll work at the intersection of engineering and content - designing prompt pipelines, integrating generative models, and building the tooling that turns source material into finished creative output. The ideal candidate is technically strong but also has taste : someone who understands story and craft, and can tell the difference between output that's technically correct and output that's actually good.

Total Experience : 2-5 years

Responsibilities :

- Build and iterate on prompt pipelines and multi-agent workflow components.

- Design and integrate agentic workflows - orchestrate multi-step, tool-using agents that plan, call models, and hand off between stages in production.

- Deploy and serve open-source models - set up inference endpoints, manage GPU compute, and optimize for latency and cost.

- Write evals - compare outputs against references, quantify quality, and feed results back into the pipeline.

- Work on data pipelines : structured extraction from messy source text, localization, similarity/dedup.

- Debug and maintain pipeline stages in production.

What you bring :

- 2+ years of engineering experience, or a strong portfolio of shipped projects.

- Solid Python fundamentals - clean, working, readable code.

- Hands-on experience with LLM APIs and prompt engineering (personal projects count).

- Comfort with Git, REST APIs, and working in a Linux environment.

- A feel for content and narrative - you can judge whether generated output is actually good, not just valid.

- Curiosity and clear communication - you ask good questions and don't stay stuck silently.

Preferred Tech Stack :

- Agent/orchestration frameworks (LangGraph, LangChain, CrewAI).

- Vector databases, embeddings, or RAG (Qdrant, pgvector).

- Open-source generative media models Flux, LTX, Wan, or similar.

- Inference deployment (vLLM, ComfyUI, Replicate/Cog, Docker + GPU).

- Evals or LLM-as-judge scoring.

- Node.js and Fastapi familiarity, or experience deploying on AWS.

About KUKU :

Founded in 2018, KUKU is India's leading storytelling platform, offering a vast digital library of audio stories, short courses, and microdramas. KUKU aims to be India's largest cultural exporter of stories, culture, and history to the world with a firm belief in "Create In India, Create For The World".

We deliver immersive entertainment and education through our OTT platforms : Kuku FM, Guru, Kuku TV, and more. With a mission to provide high-quality, personalized stories across genres in entertainment, spanning multiple formats and languages, KUKU continues to push boundaries and redefine India's entertainment industry.