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Job Closed

Agentic AI Engineer

  • Source: LinkedIn
  • CoffeeBeans
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

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 Year Location Bangalore (Should be willing to travel to Indonesia, 6 months-1 year) or Hyderabad

JobRole Overview

We are looking for a skilled Agentic Engineer / Data Scientis t 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

. Write Prompt optimization

. Write evals

. Custom guardrails for domain context that are non-trivial

. Used mlflow/langsmith or similar tools for debugging

  • Design and develop agentic system s and AI-driven solution
  • Architect scalable workflows for multi-agent system
  • Implement and optimize RAG (Retrieval-Augmented Generation ) pipeline
  • Work with vector embedding s and vector database
  • Build and manage agent orchestration framework
  • Develop end-to-end AI workflows, including data ingestion, processing, and inferenc
  • Collaborate with cross-functional teams to deliver AI-powered solution
  • Continuously evaluate and integrate emerging AI tools and framework

Required Skills & Qualification

  • 3–6 years of experience in Data Science, Machine Learning, or AI Engineerin
  • Strong experience in agent engineering and agent-based architecture
  • Hands-on experience with
  • RAG pipeline
  • Vector embeddings and semantic searc
  • Multi-agent orchestration and workflow desig
  • Proficiency in Pytho n and relevant ML/AI librarie
  • Experience with
  • LangChai n (mandatory
  • LangGrap h (mandatory
  • Solid understanding of LLMs and prompt engineerin
  • Strong problem-solving and system design skills

Skills

  • guardrails
  • ml-flow
  • mlflow
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