Senior AI Engineer

Senior AI Engineer (Generative AI)

Location: Bangalore, India (Hybrid) • Experience: 4–5 years

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.

Job Description

You will lead the development of multi-agent AI systems and advanced generative AI solutions across Yarnit's platform and client deployments.

Key Responsibilities

• Design and develop production-grade multi-agent systems (planning, tools, memory, evaluation).
• 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.
• Implement LLM architectures and fine-tuning (e.g., PEFT/LoRA) with alignment/safety practices.
• Collaborate with product and client teams to deliver solutions from design to deployment.

Required Skills & Qualifications (Must-have)

• 3–4 years of professional experience building Generative AI applications with LLMs.
• Hands-on, production experience with multi-agent frameworks (e.g., Microsoft Agent Framework, Autogen, LangGraph, CrewAI, LangChain Agents).
• Expert Python and solid software architecture/testing practices.
• Strong data science foundation with pandas for analysis, feature prep, and evaluation.
• Proven delivery of advanced RAG (vector retrieval, SQL agents for grounded queries, and KG-based retrieval where appropriate).
• Cloud experience (AWS/GCP/Azure), containerization (Docker), and orchestration (Kubernetes/Batch).

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).