Job Title: Agentic AI Engineer (Multi-Agent Systems)
Location: Hybrid/ Remote
Experience: 3+ years
Job Overview
We are looking for an experienced Agentic AI Engineer to build and deploy production-grade AI agents, multi-agent systems, and autonomous workflows. The ideal candidate should have hands-on experience with LLMs, AI orchestration frameworks, RAG, and workflow automation platforms.
Key Responsibilities
- Design and develop multi-agent AI systems and autonomous workflows.
- Build AI copilots, AI employees, and business automation solutions.
- Integrate LLMs such as GPT, Claude, Gemini, Llama, and open-source models.
- Develop AI applications using RAG, vector databases, APIs, and tool calling.
- Create automation workflows using n8n, Make.com, and Zapier.
- Deploy and optimize AI solutions in production environments.
Required Skills
- Multi-Agent Systems & Agentic AI Architecture
- RAG, Prompt Engineering, MCP, Function Calling
- LangGraph, CrewAI, LangChain, AutoGen, Pydantic AI
- OpenAI, Anthropic, Gemini APIs
- Pinecone, Weaviate, Qdrant, Chroma, PostgreSQL
- AWS, GCP, or Azure
- n8n, Make.com, Zapier
Requirements
- 3+ years of AI/LLM development experience.
- Proven experience building AI agents or multi-agent systems.
- Strong portfolio of AI products, workflows, or automation projects.
- Experience deploying AI solutions in production.
Preferred
- AI SaaS product experience.
- AI sales automation or business process automation projects.
- Open-source contributions and startup experience.
Pay: ₹2,000,000.00 - ₹2,200,000.00 per year
Experience:
- Multi-Agent Systems, LLM, RAG Agentic AI: 3 years (Required)
Work Location: Remote
