Agentic AI Engineer

Gomyneed Private Limited; Bengaluru; On-site; INR 2,400,000 - 3,600,000; Full time

Job summary

Elastic in Bangalore seeks an Agentic AI Engineer for an on-site, full-time role. You will design agent-to-agent architectures, integrate diverse LLMs with enterprise APIs, and implement tool calling.

You will apply RAG techniques to connect enterprise context using search and vector stores, while provisioning scalable cloud infrastructure with Terraform. The role spans DevOps practices, CI/CD pipelines, and lifecycle management across design, build, test and deployment for end-to-end AI

Qualifications

• Design, build and deploy agent-to-agent communication and workflows for autonomous agents.
• Integrate advanced LLMs with enterprise APIs and tool-calling methods.
• Apply Retrieval-Augmented Generation to connect enterprise context with search and vector stores.

Responsibilities

• Design, build and deploy agent-to-agent communication architectures.
• Integrate LLMs and enable tool calling with enterprise APIs.
• Implement RAG strategies to connect enterprise context with search/vector storage.

Skills

A2A Architecture

LLM Integration

Tool Calling

RAG

Cloud Infrastructure

DevOps

Tools

Terraform

AWS

Azure

GCP

CI/CD

Job description

# Agentic AI EngineerElastic Bangalore, India Full-timeFull-timeAI & Machine Learning---## About this roleElastic is hiring an Agentic AI Engineer (Bangalore, India). This is an on-site AI & machine learning role listed on the official Elastic careers site.About the Role:Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and...Key Responsibilities:• A2A Architecture & Multi-Agent Orchestration: Design, build, and deploy agent-to-agent (A2A) communication architectures and workflows that enable autonomous agents to collaborate, delegate tasks, and...• LLM Integration & Tool Calling: Integrate advanced LLMs, both proprietary and open-source, with enterprise APIs. Use tool-calling methods. Connect with third-party SaaS applications for...• Enterprise Grounding & RAG: Use advanced Retrieval-Augmented Generation (RAG) techniques. Implement strategies that connect enterprise context by using search and vector storage engines. This...• Scalable Infrastructure & IaC: Provision and manage robust cloud environments (AWS, Azure, GCP) using Terraform to support the high-concurrency demands of LLM inferences and...• DevOps & Lifecycle Management: Support modern DevOps practices. This includes creating CI/CD pipelines for automated testing, deployment, and versioning. You will also evaluate LLMs...Requirements & Details:• LLM Observability & Evaluation: Create systems to monitor how multiple agents interact. These systems will help us check model accuracy. They will also help...• Documentation: Keep detailed technical documents for LLM integration protocols. This includes A2A interaction flows and cloud infrastructure deployments• Experience with AI-assisted development, code review, test generation, working through unfamiliar code, drafting specifications, summarizing incidents, and accelerating research• Experience in shipping features covering full stack from design, build, test and deploy across the stack from database and portal through APIs, backend services,...• LLM & GenAI Expertise: Deep experience integrating, fine-tuning, and optimizing foundation models (e.g., OpenAI, Anthropic, open-source models), including expertise in prompt engineering, tool calling,...Job Type: Full-timeWork Mode: On-siteApply directly on the Elastic careers page using the Apply button.