Company Description

About Yarnit

Yarnit is building the future of Agentic AI — where autonomous, context-aware AI systems transform how enterprises strategize, create, and operate. Our multi-agent orchestration framework powers enterprise-grade copilots and autonomous workflows across marketing, commerce, and industrial domains.

We’re a product-first, fast-growing startup backed by top AI recognition and driven by a team that thrives at the edge of innovation, design, and engineering. If you’re excited to solve real-world challenges with cutting-edge AI, you’ll feel right at home here.

Core Responsibilities:

• Design and develop production-grade multi-agent systems (planning, tools, memory, evaluation).
• Implement LLM architectures and fine-tuning (e.g., PEFT/LoRA) with alignment/safety practices.
• Architect advanced RAG end-to-end (using vector , SQL , or knowledge graph approaches).
• Build agent orchestration frameworks and prompt engineering tooling with tracing/observability.
• Develop semantic search and retrieval pipelines; maintain data freshness and evaluation loops.
• Collaborate with product and client teams to deliver solutions from design to deployment.
• Build and maintain cloud AI infrastructure with MLOps (CI/CD, registries, monitoring).

Required Skills & Qualifications (Must-have)

Preferred Qualifications

• Experience with multimodal models (text/image/audio) and tool-using VLMs.
• Practical exposure to knowledge graphs (basic modeling/querying) in retrieval workflows.
• Prior work on content/marketing AI or enterprise copilots.
• Open-source contributions or relevant publications.
• Understanding of Responsible AI (evaluation, safety, governance).