CirrusLabs
Website:
cirruslabs.io
Job details:
Job Title : Agentic AI Engineer
Experience : 3 to 6 years
Notice period : Immediate Joiner to 15 days
Location : India
Job Description :
Role Overview
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.
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 & Qualifications
· 4–6 years of experience in software engineering or AI engineering roles
· 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
Preferred Qualifications
· Experience with multi-agent systems and orchestration frameworks
· Familiarity with prompt engineering, evaluation, and guardrails
· Knowledge of LLM observability tools (LangSmith, Weights & Biases, etc.)
· Experience with streaming architectures and real-time AI systems
· Exposure to security and governance in AI systems
· Understanding of cost optimization strategies for LLM usage
Soft Skills
· Strong problem-solving and system design skills
· Ability to work in fast-evolving AI landscapes
· Good communication and cross-functional collaboration
Click on Apply to know more.