AI Engineer
Kuku Technologies
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Preparing for this interview
Interviews for AI roles keep coming back to Python, LLMs, Machine learning, AWS. Practise those questions before you sit with Kuku Technologies.
Questions you are likely to be asked
- Why do you want to join Kuku Technologies?
- What is your experience with LLMs? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
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Practise the AI Engineer at Kuku Technologies interview free →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. 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: (1+/3+) 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 Exposure to agent/orchestration frameworks (LangGraph, LangChain, CrewAI) Familiarity with vector databases, embeddings, or RAG (Qdrant, pgvector) Hands-on work with open-source generative media models Flux, LTX, Wan, or similar Experience deploying open-source models for inference (vLLM, ComfyUI, Replicate/Cog, Docker + GPU) Experience writing 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. 🌐 Website: www.kukufm.com 📱 Android App: Google Play 📱 iOS App: App Store 🔗 LinkedIn: KUKU 📢 Ready to make an impact? Apply now!
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Listed on wellfound · posted 2026-10-28. ApplySarthi collects openings and links to application pages; the role is advertised by Kuku Technologies, not by us.