AI Engineer Job ID: 379291

Kuku FM, Inc.; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Kuku FM, Inc. is seeking an AI Engineer to build and implement AI systems for content production at scale.

You will work at the intersection of engineering and content design, crafting prompt pipelines, integrating generative models, and building tooling to turn source material into finished creative output. The ideal candidate has hands-on experience with LLMs, Python, and orchestration frameworks, and can evaluate output quality beyond mere correctness.

Qualifications

• 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

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

Skills

Python

LLM APIs

Git

REST APIs

Linux

Communication

Tools

LangGraph

LangChain

CrewAI

Qdrant

pgvector

Flux

LTX

WAN

Docker

GPU

Job description

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 is technically correct and output that is 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