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Job Title


Artificial Intelligence Engineer


Company : Xebia


Location : Bellary, Karnataka


Created : 2026-02-21


Job Type : Full Time


Job Description

Position Overview We are seeking an experiencedSenior Developerto join our team and lead the development of production‑readyAI agents using Amazon Bedrock AgentCore . This role requires expertise in building scalable, secure, agentic AI systems that can operate autonomously across enterprise environments.Key Responsibilities Design, develop, and deploy AI agents using theAmazon Bedrock AgentCoreplatform Buildmulti‑agent workflowswith agent‑to‑agent (A2A) communication capabilities Integrate agents with enterprise systems usingModel Context Protocol (MCP)andOAuth‑enabled services Develop custom tools and integrations throughAgentCore Gateway(AWS services, third‑party APIs, Lambda functions) Optimize agent performance, token usage, and cost efficiency Collaborate with security and compliance teams to implementpolicy controls and governanceRequired Skills & Experience Core Technical Skills Programming Languages:Strong proficiency inPython AI/ML Frameworks:Experience withLangChain, LangGraph, CrewAI, Strands Agents , or similar agentic frameworks Cloud Platform:Hands‑on experience withAWS services Model Context Protocol (MCP): Deep understanding ofMCP architecture Experience building and consumingMCP servers and clients Ability to implement standardized tool access and agent‑to‑tool communicationAgentic AI Development Proven experience building and deployingproduction AI agents Understanding ofagent orchestration , tool calling, and multi‑step reasoning Experience withprompt engineeringandLLM optimization Knowledge ofvector databasesand memory systems for context retention Familiarity withagent evaluationand quality monitoring Hands‑on experience developingMCP serversto expose tools and resources Experience buildingMCP clientsto consume external MCP servers Strong understanding ofMCP specifications , transport layers, and tool schemasAmazon Bedrock AgentCore (Nice to Have) Experience withAgentCore Runtimefor serverless agent deployment Knowledge ofAgentCore Memoryfor short‑term and long‑term context Understanding ofAgentCore Gatewayfor tool integration Experience withAgentCore Identityfor OAuth and credential workflows Familiarity withAgentCore ObservabilityTechnical Environment Languages:Python, Java Frameworks:LangChain, LangGraph, CrewAI, Strands Agents Cloud:AWS (Bedrock, Lambda, S3, DynamoDB, VPC, CloudWatch) Protocols:MCP (Model Context Protocol), A2A (Agent‑to‑Agent), OAuth 2.0