AI Engineer

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.

Key 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
• Guide and supervise coding assistants and AI agents (ChatGPT, Cursor, Claude) 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

Qualifications

• Agentic Workflows & AI Systems: 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
• Enterprise Integration & Architecture: 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
• Front End, Cloud & Delivery: 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