About Reply Reply is a leading Consulting, Systems Integration and Application Management company, specializing in the creation and implementation of solutions based on new communication networks and digital media. At Reply, you will be exposed to some of the latest technologies - like Blockchain, Artificial Intelligence, Machine Learning, Cyber Security, Big Data, Robotic Process Automation, or Cloud Computing. At Reply, we value inclusion and diversity in all their multiplicity. So come and be yourself!!What the job is about? 100% REMOTE! Attention: Remotely FROM BRAZIL!!!!Mission The AI Specialist is responsible for designing, developing, and maintaining GenAI and agentic solutions for a client in the automotive sector. The role is fully dedicated to GenAI Gateway and agentic use cases, ensuring reliable, scalable, and production-ready AI services integrated into enterprise environments.Key ResponsibilitiesDesign and implement agentic architectures (single & multi-agent)Build RAG pipelines and tool‑calling workflowsDeploy GenAI and Agentic solutions in enterprise cloud environmentsIntegrate agents with business systems via APIsEnsure quality, reliability, and observabilityIn ScopeGenAI and agentic solution development.AI services and API implementation.Model integration, prompt engineering, and agent orchestration.L3 support on GenAI and agentic components.Technologies / ToolsPythonAgentic frameworks: Semantic Kernel, AutoGen, LangChainAWS: Amazon Bedrock (Agents, Knowledge Bases), AWS Lambda, ECS/EKS, IAMAzure: Azure OpenAI, Copilot Studio, Azure Functions, Azure API ManagementRetrieval: Azure AI Search, Amazon OpenSearchREST APIs, Git, CI/CDRequisitosRequired Skills & ExperienceMust HaveProven hands‑on experience building agentic GenAI systems in productionExperience implementing RAG pipelinesPractical experience with LLM orchestration frameworks:AutoGenLangChain / LangGraphHands‑on usage of Azure services, including:Azure OpenAI ServiceAzure Functions or Azure API ManagementEntra ID (authentication / RBAC)Hands‑on usage of AWS services, including:Amazon Bedrock (models, Agents or Knowledge Bases)AWS LambdaAWS IAMExperience deploying GenAI solutions with enterprise constraints:Security & access controlScalability & monitoringAPI‑based integration with existing systemsNice to HaveExperience delivering AI solutions in automotive or industrial contextsExposure to LLMOps / MLOps practices (model / prompt versioning, evaluation & monitoring, CI/CD for AI services)Soft SkillsStrong analytical and problem‑solving mindset.Ability to work autonomously within distributed teams.Clear communication skills in an international context.Proactive, delivery‑oriented attitude.Reporting LineReports to the Tech Lead and works closely with the Product Owner / PPO and technical specialists.
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