Agentic Ai Engineer

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.

Directly builds agentic systems with LangChain/LangGraph, RAG, and vector search — aligned with vibe coding for agent orchestration and rapid AI-enabled workflows.

Location: Hyderabad, Bengaluru

Type: Full Time, Permanent

Posted: 6 days ago

Category: AI/ML & Data

Vibe Markers: 💻 Open Source, ✨ New

Experience Level: Mid

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

Tech Stack

Python, LangChain, LangGraph, RAG, Vector embeddings, Vector databases, LLMs, Semantic search

Skills

System Design, Problem Solving, Collaboration, Agent Engineering, Prompt Engineering, Workflow Design, Data Ingestion, AI Integration

Benefits

• On-site (WFO) 5 days per week