Coffeebeans.io - Agentic AI Engineer

CoffeeBeans; Kolkata District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

CoffeeBeans in Kolkata is looking for an Agentic Engineer / Data Scientist to design innovative AI-driven solutions. Candidates should have 3-6 years of experience in Data Science and proficiency in Python, RAG pipelines, and agent-based architecture.

This role involves collaborating with cross-functional teams and developing scalable workflows for advanced AI systems, ensuring a hands-on approach with modern AI frameworks and techniques.

The position will require travel to Indonesia for 6 months to a year.

Qualifications

• 3-6 years of experience in Data Science, Machine Learning, or AI Engineering.
• Strong experience in agent engineering and agent‑based architecture.
• Hands-on experience with RAG pipelines and vector embeddings.

Responsibilities

• Design and develop agentic systems and AI‑driven solutions.
• Architect scalable workflows for multi‑agent systems.
• Implement and optimize RAG pipelines.
• Collaborate with cross‑functional teams to deliver AI‑powered solutions.

Skills

Data Science

Machine Learning

AI Engineering

Python

Agent Engineering

RAG pipelines

Vector embeddings

Multi-agent orchestration

LangChain

LangGraph

Tools

ML/AI libraries

Job description

About CoffeeBeans Consulting

CoffeeBeans is a fast‑growing software consulting firm known for solving complex business problems using cutting‑edge engineering, AI, and data science. Our teams deliver end‑to‑end solutions across ML and GenAI, with a strong focus on building production‑grade systems that drive measurable value for clients in fintech, retail, healthcare, logistics, and beyond.

Experience

3-6 Years.

Location

Bangalore (Should be willing to travel to Indonesia, 6 months-1 year).

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

• 3-6 years of experience in Data Science, Machine Learning, or AI Engineering.
• Strong experience in agent engineering and agent‑based architecture.
• 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.

(ref:hirist.tech)