Experience :

3 - 6 years.

Location :

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

Job 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 contemporary 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 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 & Qualification :

- 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 pipeline, Vector embeddings and semantic search, and Multi-agent orchestration and workflow design.
- Proficiency in Python and relevant ML/AI libraries.
- Experience with LangChain (mandatory) and LangGraph (mandatory).
- Solid understanding of LLMs and prompt engineering.
- Strong problem-solving and system design skills.

📌 Coffeebeans.io - Agentic AI Engineer - Data Science (India)
🏢 CoffeeBeans Consulting
📍 India