Agentic AI Engineer

CoffeeBeans; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

CoffeeBeans is seeking an Agentic Engineer / Data Scientist to design and build advanced agentic systems and intelligent AI solutions. You will architect scalable multi-agent workflows, implement RAG pipelines, and work with vector embeddings and vector databases.

The role requires hands-on Python development and strong knowledge of LangChain and LangGraph. Join a team that collaborates across disciplines to deliver production-grade AI systems, continuously evaluating new tools and frameworks to

Qualifications

• 5–7 years of experience in Data Science, ML, or AI engineering.
• Strong background in agent-based architectures and systems design.
• Hands-on with vector embeddings, semantic search, and multi-agent orchestration.

Responsibilities

• Design and develop agentic systems and AI-driven solutions
• Architect scalable workflows for multi-agent systems
• Implement and optimize RAG pipelines
• Work with vector embeddings and vector databases
• 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
• Continuously evaluate and integrate emerging AI tools and frameworks

Skills

Agent engineering

Vector embeddings

LangChain

LangGraph

Python

LLM & prompt engineering

Multi-agent orchestration

Tools

Vector databases

Job description

Role Overview

We are looking for a skilled Agentic Engineer / Data Scientist with hands-on experience in designing, architecting, and developing advanced agentic systems and intelligent solutions. The ideal candidate will have a strong foundation in modern AI frameworks and experience building scalable, production-grade AI systems.

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
• 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
• Continuously evaluate and integrate emerging AI tools and frameworks

Required Skills & Qualifications

• 5–7 years of experience in Data Science, Machine Learning, or AI Engineering
• Strong experience in agent engineering and agent-based architectures
• Hands-on experience with:
• Vector embeddings and semantic search
• Multi-agent orchestration and workflow design
• Proficiency in Python and relevant ML/AI libraries
• Experience with:
• LangChain (mandatory)
• LangGraph (mandatory)
• Solid understanding of LLMs and prompt engineering
• Strong problem-solving and system design skills