Coffeebeans.io - Agentic AI Developer - Data Science

CoffeeBeans; Bengaluru; Hybrid; INR 1,800,000 - 2,800,000; Full time

Job summary

CoffeeBeans in Bengaluru is seeking a skilled Agentic Engineer / Data Scientist to design and develop agentic systems and AI-powered solutions. You will architect scalable multi-agent workflows and optimize RAG pipelines, leveraging vector embeddings and databases.

The role emphasizes LangChain and LangGraph proficiency, Python expertise, and hands-on integration with emerging AI tools. Work is Hybrid (WFO) in Bangalore, offering collaboration with cross-functional teams to deliver

Qualifications

• 4 to 6 years of experience in Data Science, ML, or AI Engineering.
• Strong experience in agent engineering and agent-based architectures.
• Hands-on experience with RAG pipelines.
• Vector embeddings and semantic search.
• Multi-agent orchestration and workflow design.
• Proficiency in Python and ML/AI libraries.
• LangChain is mandatory.
• LangGraph is mandatory.
• Solid understanding of LLMs and prompt engineering.
• Strong problem-solving and system design skills.

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

Python

LangChain

LangGraph

Vector embeddings

RAG pipelines

LLMs / prompting

Tools

LangChain

LangGraph

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.

Location: Bangalore. WorkMode: WFO (Hybrid).

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

• 4 to 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.
• 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.