Elastic is actively recruiting an Agentic AI Engineer for their Bangalore location. This opening is tailored for engineers who are eager to build autonomous agentic workflows and practical artificial intelligence solutions.
Role Overview
In this role within the Finance and IT Operations organization, you will develop intelligent agent architectures that automate complex organizational decision-making. Elastic is at the forefront of search and retrieval-augmented generation (RAG), and this position allows you to apply large language models directly to enterprise operational challenges.
What the role involves
Your responsibilities include building multi-agent systems using Python and modern orchestration frameworks like LangChain, LangGraph, or LlamaIndex. You will integrate vector databases, optimize Elasticsearch queries for semantic retrieval, and develop robust evaluation pipelines to monitor hallucination rates. Collaborating with internal business stakeholders to understand repetitive analytical processes and translating them into autonomous, tool-calling agents is a core daily activity.
Who it suits
This role suits engineers and recent computer science graduates who have gone beyond basic API scripting and built functioning autonomous agents. If you understand prompts engineering, memory persistence in agents, tool integration, and how to debug non-deterministic LLM outputs, you will fit right in. Candidates comfortable with both software engineering rigor and applied AI experiments will find this role rewarding.
How to stand out
Showcase practical GitHub repositories that demonstrate autonomous agents with tool usage (such as executing web searches, querying SQL databases, or validating structured JSON schema). Explain your methodology for benchmarking agent performance and cost optimization. Demonstrating familiarity with Elasticsearch vector search and dense retrieval techniques will give you a decisive edge during technical screens.
Check before you apply
The posting does not state an official salary figure, but compensation for early-career AI engineers in Bangalore commonly ranges from 10 to 15 LPA. The role is based out of Elastic's Bangalore office with flexible hybrid work policies. Confirm that you have practical experience with Python and LLM application frameworks before applying.
FAQs
What experience level is required?
The role is open to fresh graduates with strong project portfolios as well as professionals with up to 2 years of relevant software and AI experience.
Is knowledge of Elasticsearch mandatory?
While prior exposure to Elasticsearch is helpful, solid foundational knowledge of Python, vector embeddings, and retrieval-augmented generation is essential.
Where is the office located?
The position is situated in Bangalore, Karnataka.
