Role Overview

We are looking for a highly skilled AI Developer with robust expertise in building enterprisegrade Generative AI and Agentic AI solutions using AWS Bedrock Agent Core LangGraph A2A AgenttoAgent Communication Python and OpenSearch The ideal candidate should have handson experience designing intelligent multiagent systems RAGbased applications and scalable AI platforms on AWS

Key Responsibilities

Design and develop Agentic AI solutions using AWS Bedrock Agent Core and Foundation Models

Build and orchestrate complex multiagent workflows using LangGraph

Implement AgenttoAgent A2A communication patterns for distributed AI systems

Develop RetrievalAugmented Generation RAG solutions leveraging OpenSearch and vector search capabilities

Create scalable Pythonbased microservices and APIs for AI applications

Integrate LLMs with enterprise systems databases and business workflows

Optimize prompts agent reasoning workflows and AI system performance





Design knowledge retrieval pipelines semantic search and document indexing solutions

Collaborate with architects product owners and engineering teams to deliver enterprise AI solutions

Required Skills

Strong proficiency in Python programming

Handson experience with AWS Bedrock Bedrock Agents and Foundation Models

Experience building Agentic AI applications using LangGraph

Strong understanding of A2A AgenttoAgent communication and multiagent architectures

Experience implementing RAG frameworks and knowledge retrieval solutions

Expertise in OpenSearch vector databases semantic search and indexing strategies

Knowledge of prompt engineering embeddings and LLM orchestration

Experience with REST APIs microservices and cloudnative application development

Familiarity with Git CICD pipelines and Agile methodologies

Mandatory Skills : Agentic Framework, AWS Bedrock, Prompt Engineering & RAG, Python

📌 Senior Specialist - Data Sciences (Bengaluru)
🏢 LTM
📍 Bengaluru