AI Engineer

Quantiphi

19h • Remote

About The Position

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. They partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI, driving measurable outcomes. Founded in 2013, Quantiphi combines deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Headquartered in Boston, Quantiphi is a global organization with over 4,000 professionals serving clients across various industry verticals. They are an Elite and Premier partner to leading cloud and AI platforms like NVIDIA, Google Cloud, AWS, and Snowflake, and have received numerous awards and recognitions. Quantiphi is certified as a Great Place to Work for three consecutive years. The company fosters a culture built on transparency, diversity, integrity, learning, and growth. This role seeks an experienced AI Engineer to build a next-generation, AI-driven workflow platform using agentic architecture. The engineer will translate customer requirements into robust, multi-agent workflows, operating in a human-in-the-loop development model, guiding AI coding assistants and autonomous agents. The position involves owning end-to-end system design, enterprise integration, security, and scalability across full-stack development (Python back-end, React front-end) and cloud-native (AWS) environments, delivering production-grade platforms that integrate seamlessly within complex enterprise ecosystems.

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

Nice To Haves

• 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)

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

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.
• Enjoy your career with us if you like wild growth and working with happy, enthusiastic over-achievers!
• Ample opportunities to learn, grow and interact with colleagues from varied experience and backgrounds around the globe.
• An environment that helps teams to learn, grow and flourish in their professional as well as personal lives.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees