Artificial Intelligence EngineerExperion Technologiesfull-timeRequired skillsLangChainPythonAWSArtificial Intelligencecommunication skillsdata scienceDockerDynamoDBECSFastAPIinformation securityKubernetesLambdamicroservicesTensorFlowPytorchAbout the role Experion Technologies Website: experionglobal.com Job details: Job Description / Duties & ResponsibilitiesDesign, develop, and deploy scalable AI/ML and Generative AI solutions using AWS services.Build and orchestrate AI agents using Amazon Bedrock Agents / AgentCore and related agentic AI frameworks.Develop intelligent workflows leveraging LLMs, RAG architectures, vector databases, and tool integrations.Implement AI applications using Model Context Protocol (MCP) for secure and standardized tool/model interaction.Integrate foundation models from Amazon Bedrock and third-party providers into enterprise applications.Design and optimize prompt engineering strategies, agent memory, and context management.Build APIs and microservices to expose AI functionalities to business applications.Collaborate with Data Engineering teams to develop data pipelines supporting AI use cases.Implement monitoring, logging, governance, and security controls for AI systems.Mentor junior AI engineers and contribute to AI engineering standards and best practices.Evaluate emerging AI technologies and recommend improvements to the AI platform ecosystem.Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.5+ years of experience in AI/ML engineering and production-grade AI solution development.Strong hands-on experience with AWS AI/ML ecosystem, including: Amazon Bedrock, SageMaker, Lambda, API Gateway, ECS/EKS, Step Functions, DynamoDB / RDS / S3Experience building Agentic AI systems using:Bedrock Agents / AgentCore, Multi-agent orchestration frameworks, Tool calling and workflow automationStrong understanding and implementation experience with: MCP (Model Context Protocol), RAG (Retrieval-Augmented Generation), Vector databases, Embedding models, Prompt engineeringProficiency in Python and AI frameworks such as: LangChain, LangGraph, LlamaIndex, FastAPI, PyTorch / TensorFlow (preferred)Experience deploying scalable AI applications using Docker and Kubernetes.Strong understanding of software engineering best practices, CI/CD, and MLOps.Experience working with structured and unstructured data processing pipelines.Strong analytical, troubleshooting, and communication skillsTo adhere to the Information Security Management policies and procedures. Click on Apply to know more. This page is fully interactive when JavaScript is enabled. Please enable JavaScript to apply or browse related roles.