Key skills
Agentic workflow patternsMulti-agent orchestrationTool-based reasoningexecutionHuman-in-the-loop controlsWorkflow state managementPythonAI agents developmentLangGraphequivalent agent orchestration frameworksCoding assistants supervision ChatGPTCoding assistants supervision CursorCoding assistants supervision ClaudeChatGPT toolsstructured promptingEnterprise integration patternsEvent-driven integrationAsynchronous integrationAPI-based communicationMessage-based communicationWorkflow orchestrationchoreographyShared enterprise services integrationWeb architectureDistributed systemsCloud native designMulti-tenant platform designoperationIdentityaccess managementAuthenticationAuthorizationRole-based access control (RBAC)Policy enforcementReactAWSDynamoDBEventBridgeMessaging systems (RabbitMQ)Middlewareintegration servicesVPC networkingIAM AWS IdentityIAM Access ManagementSecurity boundariesCI/CD pipelinesAutomated deploymentsHuman-plus-AI development modelLife Sciences domain experienceHealthcare domain experienceFHIR standardHL7 standardCustomer-facing enterprise platformsPlatform engineeringInternal developer platforms (IDPs)Architectural oversightAIClaudeAgenticIAMGitHubRabbitMQCI/CDCommunicationCollaboration
About this role
Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact services and solutions. They are seeking an experienced AI Engineer to help build a next-generation, AI-driven workflow platform leveraging agentic architecture to power intelligent, scalable solutions.
Responsibilities:
- Architect and build full-stack, enterprise-grade platforms using reusable and modular agentic workflow patterns
- Translate inputs from internal product teams into scalable, AI-powered workflows and services
- Design and implement agentic workflows, including task decomposition, agent orchestration, tool invocation, memory/state handling, and evaluation
- Apply enterprise integration patterns to connect AI workflows with internal platforms, shared services, and external customer systems
- Guide and supervise coding assistants and AI agents (ChatGPT, Cursor, Claude. Github copilot) to accelerate delivery while ensuring correctness, security, and maintainability
- Design and operate event-driven architectures using AWS native services and messaging middleware
- Build secure Python back-end services for AI agents, workflow execution, and enterprise integrations
- Develop React-based front-end applications supporting complex, AI assisted user workflows
- Design and enforce identity, authentication, authorization, and tenant isolation models for enterprise and customer-facing systems
- Build and operate multi-tenant architectures with strong guarantees around security, scalability, and compliance
- Support customer deployments, including occasional on-site builds and integrations
- Contribute to CI/CD pipelines, infrastructure as code, observability, and operational readiness
Requirements:
- Expert-level understanding of agentic workflow patterns, Multi-agent orchestration
- Tool-based reasoning and execution
- Human-in-the-loop controls
- Workflow state, memory, and evaluation
- Strong proficiency in Python, with hands-on experience building AI agents and workflow systems
- Expert-level experience with LangGraph or equivalent agent orchestration frameworks
- Deep experience using and supervising coding assistants (ChatGPT, Cursor, Claude) in production environments
- Proficiency with ChatGPT tools, structured prompting, and multi-agent collaboration
- Expert-level understanding of enterprise integration patterns, including: Event-driven and asynchronous integration, API-based and message-based communication, Workflow orchestration and choreography, Integration with shared enterprise services
- Strong understanding of web architecture, distributed systems, and cloud native design
- Proven experience designing and operating multi-tenant platforms
- Deep knowledge of identity and access management, including authentication, authorization, RBAC, and policy enforcement
- Advanced experience building React web applications
- Expert-level understanding of AWS, including: DynamoDB, EventBridge, Messaging systems (e.g., RabbitMQ), Middleware and integration services, VPC networking, IAM, and security boundaries
- Strong experience with CI/CD pipelines and automated deployments
- Ability to operate effectively in a human-plus-AI development model, where AI produces code and engineers provide architectural oversight
- Occasional travel for customer or on-site builds may be required
- Experience in Life Sciences or Healthcare, particularly clinical or commercial platforms
- Familiarity with FHIR and HL7 standards
- Experience building customer-facing enterprise platforms
- Background in platform engineering or internal developer platforms (IDPs)