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Job Title


Artificial Intelligence Engineer


Company : Xebia


Location : Guwahati, Assam


Created : 2026-02-21


Job Type : Full Time


Job Description

Position OverviewWe are seeking an experienced Senior Developer to join our team and lead the development of production‑ready AI agents using Amazon Bedrock AgentCore. This role requires expertise in building scalable, secure, agentic AI systems that can operate autonomously across enterprise environments.Key ResponsibilitiesDesign, develop, and deploy AI agents using the Amazon Bedrock AgentCore platformBuild multi‑agent workflows with agent‑to‑agent (A2A) communication capabilitiesIntegrate agents with enterprise systems using Model Context Protocol (MCP) and OAuth‑enabled servicesDevelop custom tools and integrations through AgentCore Gateway (AWS services, third‑party APIs, Lambda functions)Optimize agent performance, token usage, and cost efficiencyCollaborate with security and compliance teams to implement policy controls and governanceRequired Skills & ExperienceCore Technical SkillsProgramming Languages: Strong proficiency in PythonAI/ML Frameworks: Experience with LangChain, LangGraph, CrewAI, Strands Agents, or similar agentic frameworksCloud Platform: Hands‑on experience with AWS servicesModel Context Protocol (MCP):Deep understanding of MCP architectureExperience building and consuming MCP servers and clientsAbility to implement standardized tool access and agent‑to‑tool communicationAgentic AI DevelopmentProven experience building and deploying production AI agentsUnderstanding of agent orchestration, tool calling, and multi‑step reasoningExperience with prompt engineering and LLM optimizationKnowledge of vector databases and memory systems for context retentionFamiliarity with agent evaluation and quality monitoringHands‑on experience developing MCP servers to expose tools and resourcesExperience building MCP clients to consume external MCP serversStrong understanding of MCP specifications, transport layers, and tool schemasAmazon Bedrock AgentCore (Nice to Have)Experience with AgentCore Runtime for serverless agent deploymentKnowledge of AgentCore Memory for short‑term and long‑term contextUnderstanding of AgentCore Gateway for tool integrationExperience with AgentCore Identity for OAuth and credential workflowsFamiliarity with AgentCore ObservabilityTechnical EnvironmentLanguages: Python, JavaFrameworks: LangChain, LangGraph, CrewAI, Strands AgentsCloud: AWS (Bedrock, Lambda, S3, DynamoDB, VPC, CloudWatch)Protocols: MCP (Model Context Protocol), A2A (Agent‑to‑Agent), OAuth 2.0