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.

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)

- 4–6 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.
- Solid 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).

📌 Senior AI Engineer (Bengaluru)
🏢 Yarnit
📍 Bengaluru