[Remote] AI Engineer

Note: The job is a remote job and is open to candidates in USA. 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 build an AI-driven workflow platform that leverages agentic architecture, translating customer inputs into scalable workflows while ensuring system design and enterprise integration.

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

Skills

• 5 plus years of experience as an AI Engineer
• Expert-level understanding of agentic workflow patterns and multi-agent orchestration
• 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, and 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)

Benefits

• Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
• Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
• Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
• Stay ahead of the curve, immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Company Overview

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