CirrusLabs
Website:
cirruslabs.io
Job details:
Role Summary: We are looking for an AI Engineer specializing in Agentic AI systems and cloud-native deployment. This role focuses on building intelligent, autonomous systems using LLMs, RAG architectures, and emerging protocols like MCP, with an emphasis on scalable, production-ready implementations.
Tech Stack:
- Python
- FastAPI, Flask
- LangChain, LlamaIndex
- AWS, Azure, GCP
- Docker, Kubernetes
Key Responsibilities:
- Design and build Agentic AI systems capable of planning, reasoning, and tool usage
- Develop and optimize RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases
- Implement and integrate Model Context Protocol (MCP) or similar frameworks for tool orchestration
- Build multi-agent workflows and autonomous decision-making systems
- Deploy AI applications on cloud platforms (AWS, Azure, GCP) with scalability and reliability
- Develop APIs and services to integrate LLM-powered features into products
- Work with vector databases and retrieval systems for efficient knowledge access
- Optimize latency, cost, and performance of LLM-based applications
- Implement observability, monitoring, and evaluation frameworks for AI systems
- Collaborate with product and engineering teams to deliver production-grade AI solutions
Required Skills:
- Strong proficiency in Python and modern backend frameworks (FastAPI, Flask, etc.)
- Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, or similar
- Strong understanding of RAG architectures, embeddings, chunking, and retrieval strategies
- Experience with vector databases (Pinecone, Weaviate, FAISS, Chroma, etc.)
- Experience building agentic workflows (tool use, memory, planning, orchestration)
- Familiarity with MCP (Model Context Protocol) or similar tool-interaction paradigms
- Experience deploying AI applications on cloud platforms (AWS/Azure/GCP)
- Strong knowledge of Docker, Kubernetes, and microservices architecture
- Experience designing and consuming REST APIs / async systems
Click on Apply to know more.