Quantiphi
AI Engineer
USA - Remote
Sponsorship not specifiedDetected 30 days ago
PythonReactDistributed SystemsFull-Stack DevelopmentGitDynamoDBSnowflakeAWSGCPCI/CDPlatform EngineeringRabbitMQMachine LearningData EngineeringLLMsAgentic AILangGraphAI OrchestrationExcelHL7/FHIRResearchCommunicationCollaboration
About the role
- Quantiphi is seeking an experienced AI Engineer to help build a next-generation, AI-driven workflow platform leveraging agentic architecture to power intelligent, scalable solutions.
- You will operate in a human-in-the-loop development model, guiding AI coding assistants and autonomous agents while owning end-to-end system design, enterprise integration, security, and scalability.
- Working across the full stack, Python back-end services, React front-end applications, and cloud-native (AWS) environments, you will deliver production-grade platforms that integrate seamlessly within complex enterprise ecosystems.
Responsibilities
- Architect and build full-stack, enterprise-grade platforms using reusable and modular agentic workflow patterns
- Design and implement agentic workflows, including task decomposition, agent orchestration, tool invocation, memory/state handling, and evaluation
- 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
Requirements
- 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
- 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
- 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)
Skills
- Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology's sake.
- 3x AWS AI/ML award wins.
- 3x NVIDIA Partner of the Year titles.
- 2x Snowflake Partner of the Year awards.
- Make an impact at one of the world's fastest-growing AI-first digital engineering companies.
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This listing is sourced directly from Quantiphi's careers page and normalized into a canonical job model.