Agentic Ai Engineer
Directly builds agentic systems with LangChain/LangGraph, RAG, and vector search — aligned with vibe coding for agent orchestration and rapid AI-enabled workflows.
About the Role
Design and build agentic AI systems and multi-agent workflows, implementing RAG pipelines, vector embeddings, and agent orchestration to deliver production-grade AI solutions. Collaborate with cross-functional teams to manage end-to-end AI workflows from data ingestion to inference.
Job Description
Role
We are seeking an Agentic AI Engineer / Data Scientist to design, architect, and develop advanced agentic systems and production-grade AI solutions. The role focuses on building scalable multi-agent architectures, Retrieval-Augmented Generation (RAG) pipelines, vector-based retrieval, and orchestration frameworks.
Key Responsibilities
- Design and develop agentic systems and AI-driven solutions
- Architect scalable workflows for multi-agent systems
- Implement and optimize RAG (Retrieval-Augmented Generation) pipelines
- Work with vector embeddings and vector databases for semantic search
- Build and manage agent orchestration frameworks
- Develop end-to-end AI workflows including data ingestion, processing, and inference
- Collaborate with cross-functional teams to deliver AI-powered solutions
- Evaluate and integrate emerging AI tools and frameworks
Requirements
- 4–6 years of experience in Data Science, Machine Learning, or AI Engineering
- Strong experience in agent engineering and agent-based architectures
- Hands-on experience with RAG pipelines, vector embeddings, and semantic search
- Experience designing multi-agent orchestration and workflows
- Proficiency in Python and relevant ML/AI libraries
- Mandatory experience with LangChain and LangGraph
- Solid understanding of LLMs and prompt engineering
- Strong problem-solving and system design skills
Location & Workmode
- Location: Bangalore / Hyderabad
- Workmode: On-site (WFO) 5 days per week